Clipper: p-value-free FDR control on high-throughput data from two conditions.

Xinzhou Ge, Yiling Elaine Chen, Dongyuan Song, MeiLu McDermott, Kyla Woyshner, Antigoni Manousopoulou, Ning Wang, Wei Li, Leo D Wang, Jingyi Jessica Li

October 2021

Synopsis of Social media discussions

The collective discussions praise Clipper for eliminating the reliance on p-values, describing it as a 'game-changer' that offers more flexible false discovery rate control across various data types. The tone emphasizes innovation and practical utility, with examples like mentions of its applicability to HiC, ChIP-seq, and genomics, which highlight both curiosity and optimism regarding its impact on biological research.

A
Agreement
 Moderate agreement

Most discussions express support and recognition for Clipper's innovative approach, indicating general agreement with its significance and utility.

I
Interest
 High level of interest

Posts demonstrate high interest, with many comments highlighting enthusiasm about the methodological advancements and potential applications.

E
Engagement
 Moderate level of engagement

The discussions show moderate engagement through mentions of technical details or implications, though few delve deeply into critique or in-depth analysis.

I
Impact
 Moderate level of impact

The community perceives Clipper as a meaningful development in high-throughput data analysis, suggesting it could influence future research methods.

Social Mentions

YouTube

3 Videos

Twitter

115 Posts

Metrics

Video Views

2,378

Total Likes

398

Extended Reach

994,548

Social Features

118

Timeline: Posts about article

Top Social Media Posts

Posts referencing the article

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255 views

  • Eric Kernfeld
    @ekernf01 (Twitter)

    Cool to see p-value-free FDR control approaches that kinda look like knockoff statistics (symmetric under the null; uses signed max and not just x-y) percolating into more and more settings. This one is from Clipper. https://t.co/7dtRC6t6ER https://t.co/OWDyToEYU8
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    September 14, 2023

    1

  • Chua Damien
    @ChuaDamien1 (Twitter)

    RT @strnr: Clipper: p-value-free FDR control on high-throughput data from two conditions https://t.co/BJrX6etvHC https://t.co/5FFnlYIgnw ht…
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    January 31, 2022

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  • Ming "Tommy" Tang
    @tangming2005 (Twitter)

    RT @strnr: Clipper: p-value-free FDR control on high-throughput data from two conditions https://t.co/BJrX6etvHC https://t.co/5FFnlYIgnw ht…
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    January 30, 2022

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  • casix
    @casix_xisac (Twitter)

    RT @strnr: Clipper: p-value-free FDR control on high-throughput data from two conditions https://t.co/BJrX6etvHC https://t.co/5FFnlYIgnw ht…
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    January 30, 2022

    14

  • @dmcg@genomic.social
    @David_McGaughey (Twitter)

    RT @strnr: Clipper: p-value-free FDR control on high-throughput data from two conditions https://t.co/BJrX6etvHC https://t.co/5FFnlYIgnw ht…
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    January 30, 2022

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  • Lei ZHANG
    @jameslz (Twitter)

    RT @strnr: Clipper: p-value-free FDR control on high-throughput data from two conditions https://t.co/BJrX6etvHC https://t.co/5FFnlYIgnw ht…
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    January 29, 2022

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  • brainfo
    @brainfopen (Twitter)

    RT @strnr: Clipper: p-value-free FDR control on high-throughput data from two conditions https://t.co/BJrX6etvHC https://t.co/5FFnlYIgnw ht…
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    January 29, 2022

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  • RNAseq_software
    @RnaseqS (Twitter)

    Clipper: p-value-free FDR control on high-throughput data from two conditions: High-throughput biological data analysis commonly involves identifying features such as genes, genomic regions, and proteins, whose values differ between two conditions, from… https://t.co/WZxjc8mgiE
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    January 29, 2022

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  • Prasath Lab CCHMC
    @PrasathLab (Twitter)

    RT @strnr: Clipper: p-value-free FDR control on high-throughput data from two conditions https://t.co/BJrX6etvHC https://t.co/5FFnlYIgnw ht…
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    January 28, 2022

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  • Edoardo Giacopuzzi
    @Supergecko (Twitter)

    RT @strnr: Clipper: p-value-free FDR control on high-throughput data from two conditions https://t.co/BJrX6etvHC https://t.co/5FFnlYIgnw ht…
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    January 28, 2022

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  • Emanuel ebioman@genomic.social
    @ebioman (Twitter)

    RT @strnr: Clipper: p-value-free FDR control on high-throughput data from two conditions https://t.co/BJrX6etvHC https://t.co/5FFnlYIgnw ht…
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    January 28, 2022

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  • nextgenseek
    @nextgenseek (Twitter)

    RT @strnr: Clipper: p-value-free FDR control on high-throughput data from two conditions https://t.co/BJrX6etvHC https://t.co/5FFnlYIgnw ht…
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    January 28, 2022

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  • Joe Colgan
    @HibernoGruppe (Twitter)

    RT @strnr: Clipper: p-value-free FDR control on high-throughput data from two conditions https://t.co/BJrX6etvHC https://t.co/5FFnlYIgnw ht…
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    January 28, 2022

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  • @yinaniy (Twitter)

    RT @strnr: Clipper: p-value-free FDR control on high-throughput data from two conditions https://t.co/BJrX6etvHC https://t.co/5FFnlYIgnw ht…
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    January 28, 2022

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  • Richard Kim ↙️
    @richardkimphd (Twitter)

    RT @strnr: Clipper: p-value-free FDR control on high-throughput data from two conditions https://t.co/BJrX6etvHC https://t.co/5FFnlYIgnw ht…
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    January 28, 2022

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  • Stephen Turner
    @strnr (Twitter)

    Clipper: p-value-free FDR control on high-throughput data from two conditions https://t.co/BJrX6etvHC https://t.co/5FFnlYIgnw https://t.co/Ss0kVs2XZm
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    January 28, 2022

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  • Giovanni Iacono
    @gio_iacono_work (Twitter)

    I am really happy and surprised that we are still improving on the basic things such as differential expression. https://t.co/pN5RWXikPg
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    January 13, 2022

  • TongZhou
    @TongZhou2017 (Twitter)

    RT @GenomeBiology: Clipper, from @ge_xinzhou, Chen, @jsb_ucla & co, is a method for false discovery rate control in comparing two biologica…
    view full post

    November 10, 2021

    6

  • Matthew Moss, PhD
    @MattMoss5595 (Twitter)

    RT @GenomeBiology: Clipper, from @ge_xinzhou, Chen, @jsb_ucla & co, is a method for false discovery rate control in comparing two biologica…
    view full post

    November 10, 2021

    6

  • Lior Pachter
    @lpachter (Twitter)

    RT @GenomeBiology: Clipper, from @ge_xinzhou, Chen, @jsb_ucla & co, is a method for false discovery rate control in comparing two biologica…
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    November 10, 2021

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  • Stephen Piccolo
    @stevepiccolo (Twitter)

    Clipper: p-value-free FDR control on high-throughput data from two conditions - Genome Biology https://t.co/GqAMWMAoAA
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    November 8, 2021

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  • Nick Schurch
    @nickschurch (Twitter)

    RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
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    November 2, 2021

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  • Lynn
    @Lynn_evodevo (Twitter)

    Clipper: p-value-free FDR control on high-throughput data from two conditions | Genome Biology | Full Text https://t.co/oMuglwTkOy
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    October 25, 2021

  • Seema Trivedi
    @seematrivedy (Twitter)

    RT @BioMedCentral: An article published in @GenomeBiology introduces a new statistical framework, Clipper, that can identify interesting fe…
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    October 22, 2021

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  • Ashlyn Anderson
    @Ashlyn_Anderso (Twitter)

    RT @BioMedCentral: An article published in @GenomeBiology introduces a new statistical framework, Clipper, that can identify interesting fe…
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    October 22, 2021

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  • Mark Borris Aldonza (@precursorcell.bsky.social
    @PrecursorCell (Twitter)

    RT @BioMedCentral: An article published in @GenomeBiology introduces a new statistical framework, Clipper, that can identify interesting fe…
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    October 22, 2021

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  • Thunder Pearson-Sanders
    @SandersSeanergy (Twitter)

    RT @BioMedCentral: An article published in @GenomeBiology introduces a new statistical framework, Clipper, that can identify interesting fe…
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    October 22, 2021

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  • Haruka Ozaki (尾崎遼)
    @yuifu (Twitter)

    RT @BioMedCentral: An article published in @GenomeBiology introduces a new statistical framework, Clipper, that can identify interesting fe…
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    October 22, 2021

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  • Zhian Liu
    @NioAngeloSanto2 (Twitter)

    RT @BioMedCentral: An article published in @GenomeBiology introduces a new statistical framework, Clipper, that can identify interesting fe…
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    October 22, 2021

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  • Yaoyu E. Wang
    @YaoyuEWang (Twitter)

    RT @BioMedCentral: An article published in @GenomeBiology introduces a new statistical framework, Clipper, that can identify interesting fe…
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    October 22, 2021

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  • Genome Biology
    @GenomeBiology (Twitter)

    RT @BioMedCentral: An article published in @GenomeBiology introduces a new statistical framework, Clipper, that can identify interesting fe…
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    October 22, 2021

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  • BMC
    @BioMedCentral (Twitter)

    An article published in @GenomeBiology introduces a new statistical framework, Clipper, that can identify interesting features with false discovery rate control from high-throughput data. https://t.co/93bSsbARyg
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    October 22, 2021

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  • ynren1020
    @yanan_ren (Twitter)

    RT @BioMedCentral: An article published in @GenomeBiology introduces a new statistical framework, Clipper, that can identify interesting fe…
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    October 19, 2021

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  • NGS Bioinformatics
    @ngsbioinfo (Twitter)

    RT @BioMedCentral: An article published in @GenomeBiology introduces a new statistical framework, Clipper, that can identify interesting fe…
    view full post

    October 19, 2021

    3

  • BMC
    @BioMedCentral (Twitter)

    An article published in @GenomeBiology introduces a new statistical framework, Clipper, that can identify interesting features with false discovery rate control from high-throughput data. https://t.co/X13y97iPuv
    view full post

    October 19, 2021

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  • Yingying Cao
    @yingyingcaoyyc (Twitter)

    RT @GenomeBiology: Clipper, from @ge_xinzhou, Chen, @jsb_ucla & co, is a method for false discovery rate control in comparing two biologica…
    view full post

    October 16, 2021

    6

  • Chen Zhao
    @ChenZhao2011 (Twitter)

    RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
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    October 15, 2021

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  • Yingying Cao
    @yingyingcaoyyc (Twitter)

    RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
    view full post

    October 15, 2021

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  • GenomeArc
    @genomearc (Twitter)

    RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
    view full post

    October 15, 2021

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  • Thanadol Sutantiwanichkul
    @PhdThanadol (Twitter)

    RT @PastelBio: Clipper: p-value-free FDR control on high-throughput data from two conditions - Genome Biology | https://t.co/ju2OyFQ7w4 #pr…
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    October 15, 2021

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  • Pei-Hsuan (Xuan) Wu
    @peihsuanwu1 (Twitter)

    RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
    view full post

    October 13, 2021

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  • Amit Kumar Yadav
    @theoneamit (Twitter)

    RT @PastelBio: Clipper: p-value-free FDR control on high-throughput data from two conditions - Genome Biology | https://t.co/ju2OyFQ7w4 #pr…
    view full post

    October 13, 2021

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  • Jingyi Jessica Li (李婧翌)
    @jsb_ucla (Twitter)

    RT @GenomeBiology: Clipper, from @ge_xinzhou, Chen, @jsb_ucla & co, is a method for false discovery rate control in comparing two biologica…
    view full post

    October 13, 2021

    6

  • arnavm.bsky.social
    @arnavm1 (Twitter)

    RT @GenomeBiology: Clipper, from @ge_xinzhou, Chen, @jsb_ucla & co, is a method for false discovery rate control in comparing two biologica…
    view full post

    October 13, 2021

    6

  • Xinzhou Ge
    @ge_xinzhou (Twitter)

    RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
    view full post

    October 13, 2021

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  • Andrea Petretto
    @Angrist_Fusion (Twitter)

    RT @PastelBio: Clipper: p-value-free FDR control on high-throughput data from two conditions - Genome Biology | https://t.co/ju2OyFQ7w4 #pr…
    view full post

    October 13, 2021

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  • Genome Biology
    @GenomeBiology (Twitter)

    Clipper, from @ge_xinzhou, Chen, @jsb_ucla & co, is a method for false discovery rate control in comparing two biological conditions, without relying on p-values or specific data distributions. It can be used on a variety of data types eg HiC, ChIP-seq https://t.co/tLX6dMf50u https://t.co/5gWiTkJKIN
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    October 13, 2021

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  • Joel Steele
    @JoelisSteele (Twitter)

    RT @PastelBio: Clipper: p-value-free FDR control on high-throughput data from two conditions - Genome Biology | https://t.co/ju2OyFQ7w4 #pr…
    view full post

    October 13, 2021

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  • Pastel BioScience
    @PastelBio (Twitter)

    Clipper: p-value-free FDR control on high-throughput data from two conditions - Genome Biology | https://t.co/ju2OyFQ7w4 #proteomics https://t.co/n2xDHvEi9G
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    October 13, 2021

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  • Shila Ghazanfar
    @shazanfar (Twitter)

    RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
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    October 13, 2021

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  • Jianshu Zhao
    @jansue_chao (Twitter)

    RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
    view full post

    October 13, 2021

    54

  • Amit Kumar Yadav
    @theoneamit (Twitter)

    RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
    view full post

    October 12, 2021

    54

  • Hao Yin
    @HaoYin20 (Twitter)

    RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
    view full post

    October 12, 2021

    54

  • Tomy
    @tomy2875 (Twitter)

    RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
    view full post

    October 12, 2021

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  • LAGC-PsychiatricGenetics
    @LAGCPsychGene (Twitter)

    RT @daforerog: Clipper: p-value-free FDR control on high-throughput data from two conditions https://t.co/jdzbsWW2l0 @LAGCPsychGene #Bioinf…
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    October 12, 2021

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  • Jorge Hernandez
    @braneloop (Twitter)

    RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
    view full post

    October 12, 2021

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  • Viswanathan Satheesh
    @satheeshbhoj (Twitter)

    RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
    view full post

    October 12, 2021

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  • Alexander Neils
    @360CRISPRCAS (Twitter)

    RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
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    October 12, 2021

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  • CompChemBio Bot
    @CompChemBioBot (Twitter)

    RT @daforerog: Clipper: p-value-free FDR control on high-throughput data from two conditions https://t.co/jdzbsWW2l0 @LAGCPsychGene #Bioinf…
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    October 12, 2021

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  • Diego Forero MD, PhD
    @daforerog (Twitter)

    Clipper: p-value-free FDR control on high-throughput data from two conditions https://t.co/jdzbsWW2l0 @LAGCPsychGene #Bioinformatics
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    October 12, 2021

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  • Prerna Singh
    @PrernaSingh_ (Twitter)

    RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
    view full post

    October 12, 2021

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  • BioMatta™
    @BioMatta (Twitter)

    RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
    view full post

    October 12, 2021

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  • Yunze Liu
    @ReedLiu1314 (Twitter)

    RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
    view full post

    October 12, 2021

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  • Dr. Kaia Mattioli
    @kaia_mattioli (Twitter)

    RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
    view full post

    October 12, 2021

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  • Lucas R Moreira
    @lucas_rmor (Twitter)

    RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
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    October 12, 2021

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  • Kévin Lebrigand, PhD
    @kevinlebrigand (Twitter)

    RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
    view full post

    October 12, 2021

    54

  • Fulong Yu
    @fulong_yu (Twitter)

    RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
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    October 12, 2021

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  • Dr. Rex Devasahayam Arokia Balaya, MPhil., Ph.D.
    @rexprem (Twitter)

    RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
    view full post

    October 12, 2021

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  • Joshua Ho
    @joshuawkho (Twitter)

    RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
    view full post

    October 12, 2021

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  • Yang Wang
    @wangdepin5135 (Twitter)

    RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
    view full post

    October 12, 2021

    54

  • Simanga kaZondumbuzo Mchunu
    @Simacoder (Twitter)

    RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
    view full post

    October 12, 2021

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  • Wenhao
    @twh112358 (Twitter)

    RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
    view full post

    October 12, 2021

    54

  • Xuan Yang
    @Born1984Yang (Twitter)

    RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
    view full post

    October 12, 2021

    54

  • Bio-protocol
    @bioprotocolbyte (Twitter)

    RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
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    October 12, 2021

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  • Tuomo Hartonen
    @tuomohartonen (Twitter)

    RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
    view full post

    October 12, 2021

    54

  • Kenji Fukushima (福島 健児)
    @kfuku0502 (Twitter)

    RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
    view full post

    October 12, 2021

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  • Hong Qin
    @hongqin (Twitter)

    RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
    view full post

    October 12, 2021

    54

  • Ming "Tommy" Tang
    @tangming2005 (Twitter)

    RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
    view full post

    October 12, 2021

    54

  • Yiling Chen
    @yiling0210 (Twitter)

    RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
    view full post

    October 11, 2021

    54

  • Fanglue Peng
    @FanglueP (Twitter)

    RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
    view full post

    October 11, 2021

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  • k____i
    @k____i (Twitter)

    Clipper: p-value-free FDR control on high-throughput data from two conditions https://t.co/gFFtH9X485 #uncategorized #feedly
    view full post

    October 11, 2021

  • Leandros Boukas
    @LeandrosBoukas (Twitter)

    RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
    view full post

    October 11, 2021

    54

  • Wenpin Hou
    @HWenpin (Twitter)

    RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
    view full post

    October 11, 2021

    54

  • Yulong Niu
    @YulongNiu (Twitter)

    RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
    view full post

    October 11, 2021

    54

  • Manuel Garber
    @garber_manuel (Twitter)

    RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
    view full post

    October 11, 2021

    54

  • Ti’ara Griffen, PhD
    @TiaraGPhD (Twitter)

    RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
    view full post

    October 11, 2021

    54

  • Mark Borris Aldonza (@precursorcell.bsky.social
    @PrecursorCell (Twitter)

    RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
    view full post

    October 11, 2021

    54

  • Tao Wang Lab UTSW
    @TaoWang27112003 (Twitter)

    RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
    view full post

    October 11, 2021

    54

  • Xinjun Zhang
    @Xinjun90 (Twitter)

    RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
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    October 11, 2021

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  • Martin Jinye Zhang
    @martinjzhang (Twitter)

    RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
    view full post

    October 11, 2021

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  • Dennis Hazelett
    @vigocarpathian (Twitter)

    RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
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    October 11, 2021

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  • Luis Miguel Alvarez
    @LsMgl290703 (Twitter)

    RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
    view full post

    October 11, 2021

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  • Tri Nguyen (he/him)
    @edtringuyen (Twitter)

    RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
    view full post

    October 11, 2021

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  • Anshul Kundaje (anshulkundaje@bluesky)
    @anshulkundaje (Twitter)

    RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
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    October 11, 2021

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  • Li Song
    @mourisl (Twitter)

    RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
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    October 11, 2021

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  • 王力德實驗室(leowanglab)
    @leowanglab (Twitter)

    RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
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    October 11, 2021

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  • Jingyi Jessica Li (李婧翌)
    @jsb_ucla (Twitter)

    We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper does not require high-resolution p-values, thus saving null distribution derivation and many rounds of permutations: https://t.co/zd7zj5dHBA
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    October 11, 2021

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  • MyJournals
    @myjournals (Twitter)

    Clipper: p-value-free FDR control on high-throughput data from two conditions https://t.co/YkuxrTyaIW
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    October 11, 2021

  • Maksim Nesterenko
    @linux_maxima (Twitter)

    RT @biorxiv_bioinfo: Clipper: p-value-free FDR control on high-throughput data from two conditions https://t.co/uvmgyUww6k #biorxiv_bioinfo
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    October 4, 2021

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  • Mike Lee
    @AstrobioMike (Twitter)

    RT @biorxiv_bioinfo: Clipper: p-value-free FDR control on high-throughput data from two conditions https://t.co/uvmgyUww6k #biorxiv_bioinfo
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    October 4, 2021

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    @biorxiv_bioinfo (Twitter)

    Clipper: p-value-free FDR control on high-throughput data from two conditions https://t.co/uvmgyUww6k #biorxiv_bioinfo
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    October 3, 2021

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  • bioRxiv
    @biorxivpreprint (Twitter)

    Clipper: p-value-free FDR control on high-throughput data from two conditions https://t.co/aeoUG1Utoq #bioRxiv
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    October 3, 2021

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  • GenomeResearch
    @ResearchGenome (Twitter)

    Clipper: p-value-free FDR control on high-throughput data from two conditions https://t.co/DrU5pXeIHz
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    April 12, 2021

  • Berkeley Statistics
    @UCBStatistics (Twitter)

    Today's Neyman Seminar 4:00-5:00 PM PST Jingyi Jessica Li, UCLA @jsb_ucla Clipper: p-value-free FDR control on high-throughput data from two conditions https://t.co/zdvZXNQo3H
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    February 3, 2021

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  • Pastel BioScience
    @PastelBio (Twitter)

    Clipper: p-value-free FDR control on high-throughput data from two conditions | https://t.co/eSGjLzNcP1 #proteomics https://t.co/mVRcWavL83
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    November 22, 2020

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    @rmperrotta (Twitter)

    RT @biorxivpreprint: Clipper: p-value-free FDR control on high-throughput data from two conditions https://t.co/yS0RJUOxHT #bioRxiv
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    November 22, 2020

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    @redpanda_INSERM (Twitter)

    RT @biorxivpreprint: Clipper: p-value-free FDR control on high-throughput data from two conditions https://t.co/yS0RJUOxHT #bioRxiv
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    November 22, 2020

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    @_elioRocha (Twitter)

    #bioRxiv Clipper: p-value-free FDR control on high-throughput data from two conditions #bioinfo https://t.co/hjBl0Sbc14
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    November 22, 2020

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    @neelmukherj (Twitter)

    RT @biorxivpreprint: Clipper: p-value-free FDR control on high-throughput data from two conditions https://t.co/yS0RJUOxHT #bioRxiv
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    November 21, 2020

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  • Javier Santoyo
    @jsantoyo (Twitter)

    Clipper: p-value-free FDR control on high-throughput data from two conditions. https://t.co/CFjwQACcJh
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    November 21, 2020

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    @nextgenseek (Twitter)

    RT @biorxivpreprint: Clipper: p-value-free FDR control on high-throughput data from two conditions https://t.co/yS0RJUOxHT #bioRxiv
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    November 21, 2020

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  • Anshul Kundaje (anshulkundaje@bluesky)
    @anshulkundaje (Twitter)

    RT @biorxivpreprint: Clipper: p-value-free FDR control on high-throughput data from two conditions https://t.co/yS0RJUOxHT #bioRxiv
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    November 21, 2020

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  • 川田健太郎@産総研
    @KawataKentaro (Twitter)

    RT @biorxiv_bioinfo: Clipper: p-value-free FDR control on high-throughput data from two conditions https://t.co/vVZ9vDj8f7 #biorxiv_bioinfo
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    November 21, 2020

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  • bioRxiv Bioinfo
    @biorxiv_bioinfo (Twitter)

    Clipper: p-value-free FDR control on high-throughput data from two conditions https://t.co/vVZ9vDj8f7 #biorxiv_bioinfo
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    November 21, 2020

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    @biorxivpreprint (Twitter)

    Clipper: p-value-free FDR control on high-throughput data from two conditions https://t.co/yS0RJUOxHT #bioRxiv
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    November 21, 2020

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Abstract Synopsis

  • Clipping is a statistical method designed for analyzing high-throughput biological data that compares two conditions without depending on p-values or specific data distribution assumptions.
  • It helps identify significant features like genes or proteins while controlling the false discovery rate (FDR), providing more reliable results even with limited replicates or unknown data distributions.
  • Overall, Clipper improves upon existing methods by offering a more flexible and robust approach to FDR control across various applications in high-throughput data analysis.