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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.
Most discussions express support and recognition for Clipper's innovative approach, indicating general agreement with its significance and utility.
Posts demonstrate high interest, with many comments highlighting enthusiasm about the methodological advancements and potential applications.
The discussions show moderate engagement through mentions of technical details or implications, though few delve deeply into critique or in-depth analysis.
The community perceives Clipper as a meaningful development in high-throughput data analysis, suggesting it could influence future research methods.
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
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
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
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
Clipper: p-value-free FDR control on high-throughput data from two conditions https://t.co/yS0RJUOxHT #bioRxiv
Clipper: p-value-free FDR control on high-throughput data from two conditions https://t.co/uvmgyUww6k #biorxiv_bioinfo
Jingyi Jessica Li discusses the importance of statistical rigor in genomics data science, covering differential expression analysis, gene expression simulation, and FDR control, with practical guidelines for making…
This video presents Jingyi Jessica Li discussing how PseudotimeDE, a new method, improves the identification of differentially expressed genes from single-cell RNA sequencing data by controlling false discovery rates…
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
RT @strnr: Clipper: p-value-free FDR control on high-throughput data from two conditions https://t.co/BJrX6etvHC https://t.co/5FFnlYIgnw ht…
RT @strnr: Clipper: p-value-free FDR control on high-throughput data from two conditions https://t.co/BJrX6etvHC https://t.co/5FFnlYIgnw ht…
RT @strnr: Clipper: p-value-free FDR control on high-throughput data from two conditions https://t.co/BJrX6etvHC https://t.co/5FFnlYIgnw ht…
RT @strnr: Clipper: p-value-free FDR control on high-throughput data from two conditions https://t.co/BJrX6etvHC https://t.co/5FFnlYIgnw ht…
RT @strnr: Clipper: p-value-free FDR control on high-throughput data from two conditions https://t.co/BJrX6etvHC https://t.co/5FFnlYIgnw ht…
RT @strnr: Clipper: p-value-free FDR control on high-throughput data from two conditions https://t.co/BJrX6etvHC https://t.co/5FFnlYIgnw ht…
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
RT @strnr: Clipper: p-value-free FDR control on high-throughput data from two conditions https://t.co/BJrX6etvHC https://t.co/5FFnlYIgnw ht…
RT @strnr: Clipper: p-value-free FDR control on high-throughput data from two conditions https://t.co/BJrX6etvHC https://t.co/5FFnlYIgnw ht…
RT @strnr: Clipper: p-value-free FDR control on high-throughput data from two conditions https://t.co/BJrX6etvHC https://t.co/5FFnlYIgnw ht…
RT @strnr: Clipper: p-value-free FDR control on high-throughput data from two conditions https://t.co/BJrX6etvHC https://t.co/5FFnlYIgnw ht…
RT @strnr: Clipper: p-value-free FDR control on high-throughput data from two conditions https://t.co/BJrX6etvHC https://t.co/5FFnlYIgnw ht…
RT @strnr: Clipper: p-value-free FDR control on high-throughput data from two conditions https://t.co/BJrX6etvHC https://t.co/5FFnlYIgnw ht…
RT @strnr: Clipper: p-value-free FDR control on high-throughput data from two conditions https://t.co/BJrX6etvHC https://t.co/5FFnlYIgnw ht…
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
I am really happy and surprised that we are still improving on the basic things such as differential expression. https://t.co/pN5RWXikPg
RT @GenomeBiology: Clipper, from @ge_xinzhou, Chen, @jsb_ucla & co, is a method for false discovery rate control in comparing two biologica…
RT @GenomeBiology: Clipper, from @ge_xinzhou, Chen, @jsb_ucla & co, is a method for false discovery rate control in comparing two biologica…
RT @GenomeBiology: Clipper, from @ge_xinzhou, Chen, @jsb_ucla & co, is a method for false discovery rate control in comparing two biologica…
Clipper: p-value-free FDR control on high-throughput data from two conditions - Genome Biology https://t.co/GqAMWMAoAA
RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
Clipper: p-value-free FDR control on high-throughput data from two conditions | Genome Biology | Full Text https://t.co/oMuglwTkOy
RT @BioMedCentral: An article published in @GenomeBiology introduces a new statistical framework, Clipper, that can identify interesting fe…
RT @BioMedCentral: An article published in @GenomeBiology introduces a new statistical framework, Clipper, that can identify interesting fe…
RT @BioMedCentral: An article published in @GenomeBiology introduces a new statistical framework, Clipper, that can identify interesting fe…
RT @BioMedCentral: An article published in @GenomeBiology introduces a new statistical framework, Clipper, that can identify interesting fe…
RT @BioMedCentral: An article published in @GenomeBiology introduces a new statistical framework, Clipper, that can identify interesting fe…
RT @BioMedCentral: An article published in @GenomeBiology introduces a new statistical framework, Clipper, that can identify interesting fe…
RT @BioMedCentral: An article published in @GenomeBiology introduces a new statistical framework, Clipper, that can identify interesting fe…
RT @BioMedCentral: An article published in @GenomeBiology introduces a new statistical framework, Clipper, that can identify interesting fe…
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
RT @BioMedCentral: An article published in @GenomeBiology introduces a new statistical framework, Clipper, that can identify interesting fe…
RT @BioMedCentral: An article published in @GenomeBiology introduces a new statistical framework, Clipper, that can identify interesting fe…
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
RT @GenomeBiology: Clipper, from @ge_xinzhou, Chen, @jsb_ucla & co, is a method for false discovery rate control in comparing two biologica…
RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
RT @PastelBio: Clipper: p-value-free FDR control on high-throughput data from two conditions - Genome Biology | https://t.co/ju2OyFQ7w4 #pr…
RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
RT @PastelBio: Clipper: p-value-free FDR control on high-throughput data from two conditions - Genome Biology | https://t.co/ju2OyFQ7w4 #pr…
RT @GenomeBiology: Clipper, from @ge_xinzhou, Chen, @jsb_ucla & co, is a method for false discovery rate control in comparing two biologica…
RT @GenomeBiology: Clipper, from @ge_xinzhou, Chen, @jsb_ucla & co, is a method for false discovery rate control in comparing two biologica…
RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
RT @PastelBio: Clipper: p-value-free FDR control on high-throughput data from two conditions - Genome Biology | https://t.co/ju2OyFQ7w4 #pr…
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
RT @PastelBio: Clipper: p-value-free FDR control on high-throughput data from two conditions - Genome Biology | https://t.co/ju2OyFQ7w4 #pr…
Clipper: p-value-free FDR control on high-throughput data from two conditions - Genome Biology | https://t.co/ju2OyFQ7w4 #proteomics https://t.co/n2xDHvEi9G
RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
RT @daforerog: Clipper: p-value-free FDR control on high-throughput data from two conditions https://t.co/jdzbsWW2l0 @LAGCPsychGene #Bioinf…
RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
RT @daforerog: Clipper: p-value-free FDR control on high-throughput data from two conditions https://t.co/jdzbsWW2l0 @LAGCPsychGene #Bioinf…
Clipper: p-value-free FDR control on high-throughput data from two conditions https://t.co/jdzbsWW2l0 @LAGCPsychGene #Bioinformatics
RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
Clipper: p-value-free FDR control on high-throughput data from two conditions https://t.co/gFFtH9X485 #uncategorized #feedly
RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
RT @jsb_ucla: We propose Clipper as a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper…
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
Clipper: p-value-free FDR control on high-throughput data from two conditions https://t.co/YkuxrTyaIW
RT @biorxiv_bioinfo: Clipper: p-value-free FDR control on high-throughput data from two conditions https://t.co/uvmgyUww6k #biorxiv_bioinfo
RT @biorxiv_bioinfo: Clipper: p-value-free FDR control on high-throughput data from two conditions https://t.co/uvmgyUww6k #biorxiv_bioinfo
Clipper: p-value-free FDR control on high-throughput data from two conditions https://t.co/uvmgyUww6k #biorxiv_bioinfo
Clipper: p-value-free FDR control on high-throughput data from two conditions https://t.co/aeoUG1Utoq #bioRxiv
Clipper: p-value-free FDR control on high-throughput data from two conditions https://t.co/DrU5pXeIHz
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
Clipper: p-value-free FDR control on high-throughput data from two conditions | https://t.co/eSGjLzNcP1 #proteomics https://t.co/mVRcWavL83
RT @biorxivpreprint: Clipper: p-value-free FDR control on high-throughput data from two conditions https://t.co/yS0RJUOxHT #bioRxiv
RT @biorxivpreprint: Clipper: p-value-free FDR control on high-throughput data from two conditions https://t.co/yS0RJUOxHT #bioRxiv
#bioRxiv Clipper: p-value-free FDR control on high-throughput data from two conditions #bioinfo https://t.co/hjBl0Sbc14
RT @biorxivpreprint: Clipper: p-value-free FDR control on high-throughput data from two conditions https://t.co/yS0RJUOxHT #bioRxiv
Clipper: p-value-free FDR control on high-throughput data from two conditions. https://t.co/CFjwQACcJh
RT @biorxivpreprint: Clipper: p-value-free FDR control on high-throughput data from two conditions https://t.co/yS0RJUOxHT #bioRxiv
RT @biorxivpreprint: Clipper: p-value-free FDR control on high-throughput data from two conditions https://t.co/yS0RJUOxHT #bioRxiv
RT @biorxiv_bioinfo: Clipper: p-value-free FDR control on high-throughput data from two conditions https://t.co/vVZ9vDj8f7 #biorxiv_bioinfo
Clipper: p-value-free FDR control on high-throughput data from two conditions https://t.co/vVZ9vDj8f7 #biorxiv_bioinfo
Clipper: p-value-free FDR control on high-throughput data from two conditions https://t.co/yS0RJUOxHT #bioRxiv