Nat Commun April 2023 PMID 37045821

Predictive and robust gene selection for spatial transcriptomics.

Ian Covert, Rohan Gala, Tim Wang, Karel Svoboda, Uygar Sümbül, Su-In Lee

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Peak: 23 in Apr 2023

across 2 sources since Dec 2022

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Dec 2022 – Jul 2023

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AI synopsis

What people are saying

The group of discussions emphasizes technical considerations, such as the potential utility of the gene selection method with specific spatial transcriptomics platforms, as evidenced by remarks like 'probably useful only with Vizgen Merscope.' The tone is primarily informative and cautious, reflecting an audience that values practical applications but also recognizes current limitations. The use of phrases such as 'probably useful only' underscores an appreciation for technical specificity, while the focus on tools and platforms signifies moderate engagement within a specialized community.

AgreementNeither agree nor disagree

The discussions show mixed reactions; some express neutral or cautious views, particularly noting limitations with certain platforms, indicating no strong consensus.

InterestModerate interest

Most posts indicate at least moderate curiosity, especially with mentions of tools like Vizgen Merscope and Nanostring CosMx, showing that the research piques specialized interest.

EngagementModerate engagement

There is some depth in the discussions, with references to technical aspects and specific applications, but many contributions are brief or primarily share links and titles, suggesting moderate engagement.

ImpactNeutral impact

While the publication is recognized as technical and relevant within the bioinformatics community, the discussions do not strongly emphasize its broader influence or revolutionary impact.

Abstract in brief

The article discusses PERSIST, a deep learning tool designed to select the most informative genes for spatial transcriptomics, which studies the spatial arrangement of gene expression in tissues.
PERSIST uses existing single-cell RNA sequencing data to pick small gene panels that can accurately predict the overall gene expression, helping researchers get more information with fewer genes.
The method is adaptable to different research goals and can generalize across various technologies and biological settings, making it a flexible solution for spatial transcriptomics studies.]

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Gene Selection for Spatial Transcriptomics Using Deep Learning Techniques

This video discusses PERSIST, a deep learning tool for selecting informative genes in spatial transcriptomics studies, enabling accurate predictions with fewer genes and adaptable to various research goals.

STEM RTCL TV · Jul 26, 2023 39 views

jamesjfink

@jamesjfink · X

RT @BioDecoded: Predictive and robust gene selection for spatial transcriptomics | Nature Communications https://t.co/0aN2x9k66R #Bioinfor…

May 3, 2023 · 5 shares · 326 followers View post →

Dr.Anas Bilal

@IamAnasBilal · X

RT @BioDecoded: Predictive and robust gene selection for spatial transcriptomics | Nature Communications https://t.co/0aN2x9k66R #Bioinfor…

May 2, 2023 · 5 shares · 22 followers View post →

sunshine

@sunshin21502307 · X

RT @BioDecoded: Predictive and robust gene selection for spatial transcriptomics | Nature Communications https://t.co/0aN2x9k66R #Bioinfor…

May 2, 2023 · 5 shares · 27 followers View post →

Lavanya Muthukrishnan

@LavanyaMuthukr3 · X

RT @BioDecoded: Predictive and robust gene selection for spatial transcriptomics | Nature Communications https://t.co/0aN2x9k66R #Bioinfor…

May 2, 2023 · 5 shares · 72 followers View post →

Bodhi Dharma

@dharma92biol · X

RT @BioDecoded: Predictive and robust gene selection for spatial transcriptomics | Nature Communications https://t.co/0aN2x9k66R #Bioinfor…

May 2, 2023 · 5 shares · 165 followers View post →

BioDecoded

@BioDecoded · X

Predictive and robust gene selection for spatial transcriptomics | Nature Communications https://t.co/0aN2x9k66R #Bioinformatics https://t.co/xXY8XbDU9w

May 1, 2023 · 20 likes · 5 shares · 8,901 followers View post →

Javier Santoyo

@jsantoyo · X

Predictive and robust gene selection for spatial transcriptomics. #SpatialTranscriptomics #GeneSelection @NatureComms https://t.co/10jiuDNpP6

Apr 29, 2023 · 4 likes · 6,101 followers View post →

Ching-Lung Hsu

@hiallen72 · X

https://t.co/qrihF6orJI

Apr 26, 2023 · 1,265 followers View post →

SeoyeonLee

@seoyeonlee_ · X

RT @jungsukim77: [Technical, Spatial transcriptomics] Probably useful only with Vizgen Merscope but not with Nanostring CosMx Title: Pred…

Apr 18, 2023 · 3 shares · 38 followers View post →

Tariq Nadeem

@Tariqbiotech27 · X

RT @LukasValihrach: Predictive and robust gene selection for spatial transcriptomics https://t.co/Hi6dROB1J5

Apr 16, 2023 · 11 shares · 621 followers View post →

Lavanya Muthukrishnan

@LavanyaMuthukr3 · X

RT @LukasValihrach: Predictive and robust gene selection for spatial transcriptomics https://t.co/Hi6dROB1J5

Apr 16, 2023 · 11 shares · 72 followers View post →

Hamim Zafar

@Quasarzafar · X

RT @LukasValihrach: Predictive and robust gene selection for spatial transcriptomics https://t.co/Hi6dROB1J5

Apr 15, 2023 · 11 shares · 552 followers View post →

CrowdedHead

@CrowdedHead · X

RT @LukasValihrach: Predictive and robust gene selection for spatial transcriptomics https://t.co/Hi6dROB1J5

Apr 15, 2023 · 11 shares · 3,527 followers View post →

Spatial Omics

@SpatialOmics · X

RT @LukasValihrach: Predictive and robust gene selection for spatial transcriptomics https://t.co/Hi6dROB1J5

Apr 15, 2023 · 11 shares · 1,206 followers View post →

Lior Mayo

@MayoLior · X

RT @LukasValihrach: Predictive and robust gene selection for spatial transcriptomics https://t.co/Hi6dROB1J5

Apr 15, 2023 · 11 shares · 863 followers View post →

choiLab

@jungminchoilab · X

RT @LukasValihrach: Predictive and robust gene selection for spatial transcriptomics https://t.co/Hi6dROB1J5

Apr 15, 2023 · 11 shares · 330 followers View post →

iBraiN Inserm Lab

@iBrain_Inserm · X

RT @LukasValihrach: Predictive and robust gene selection for spatial transcriptomics https://t.co/Hi6dROB1J5

Apr 15, 2023 · 11 shares · 1,727 followers View post →

lbgbox

@lbgbox · X

RT @jungsukim77: [Technical, Spatial transcriptomics] Probably useful only with Vizgen Merscope but not with Nanostring CosMx Title: Pred…

Apr 14, 2023 · 3 shares · 51 followers View post →

Michael Heming

@MHemingNeuro · X

RT @LukasValihrach: Predictive and robust gene selection for spatial transcriptomics https://t.co/Hi6dROB1J5

Apr 14, 2023 · 11 shares · 118 followers View post →

Joao Pereira

@jdpereira · X

RT @LukasValihrach: Predictive and robust gene selection for spatial transcriptomics https://t.co/Hi6dROB1J5

Apr 14, 2023 · 11 shares · 8,202 followers View post →

Karol Kaiser

@KarolKaiser1 · X

RT @LukasValihrach: Predictive and robust gene selection for spatial transcriptomics https://t.co/Hi6dROB1J5

Apr 14, 2023 · 11 shares · 150 followers View post →

Lukas Valihrach

@LukasValihrach · X

Predictive and robust gene selection for spatial transcriptomics https://t.co/Hi6dROB1J5

Apr 14, 2023 · 52 likes · 11 shares · 3,422 followers View post →

Spatial Omics

@SpatialOmics · X

RT @jungsukim77: [Technical, Spatial transcriptomics] Probably useful only with Vizgen Merscope but not with Nanostring CosMx Title: Pred…

Apr 14, 2023 · 3 shares · 1,206 followers View post →

Jungsu Kim

@jungsukim77 · X

Apr 13, 2023 · 12 likes · 3 shares · 1,051 followers View post →

Transcriptomes

@transcriptomes · X

Predictive and robust gene selection for spatial transcriptomics. https://t.co/AScCFmr5Bf

Apr 13, 2023 · 1,809 followers View post →

Czexpats papers

@Czexpats_papers · X

Predictive and robust gene selection for spatial transcriptomics https://t.co/7w4swDr89B https://t.co/pB57OvAm2h

Apr 13, 2023 · 194 followers View post →

EliZa BOT

@elizabot9 · X

RT @lopezunwired: Predictive and robust gene selection for spatial transcriptomics https://t.co/CQ35LEMnyf #MachineLearning #NatureJournal…

Apr 12, 2023 · 1 share · 482 followers View post →

Paul Lopez

@lopezunwired · X

Predictive and robust gene selection for spatial transcriptomics https://t.co/CQ35LEMnyf #MachineLearning #NatureJournal #AI https://t.co/vEF9FgBURY

Apr 12, 2023 · 4 likes · 1 share · 2,480 followers View post →

Reluctant Quant

@DrMattCrowson · X

RT Predictive and robust gene selection for spatial transcriptomics https://t.co/Y9n6mzeyLu https://t.co/F18rpqPYFw

Apr 12, 2023 · 1,260 followers View post →

bioRxivbot

@BiorxivB · X

Predictive and robust gene selection for spatial transcriptomics https://t.co/hlvMO5uGLM

Dec 27, 2022 · 21 followers View post →

Predictive and robust gene selection for spatial transcriptomics.

Mentions per month

Where it's discussed

What people are saying

Abstract in brief

Top posts

All mentions

Gene Selection for Spatial Transcriptomics Using Deep Learning Techniques