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Many discussions highlight the significance of PseudotimeDE, mentioning its improved power and reliability in gene expression analysis. Phrases like 'valid p-values' and 'inference uncertainty' indicate a technical appreciation and strong interest in the publication's methodology, while comments from researchers inquire about future uses and extensions, suggesting that they find the research highly relevant.
The majority of discussions show positive responses to the methodology presented in the article, with many emphasizing its relevance in current research.
Posts reflect a high level of interest in the PseudotimeDE method, as users inquire about different applications and implications.
While engagement is moderate, several posters delve into technical aspects, demonstrating some level of thoughtful consideration.
Users perceive the publication as having a significant impact on the field of bioinformatics and gene expression research.
Our new method PseudotimeDE developed by @SongDongyuan infers differentially expressed (DE) genes along cell pseudotime. It considers the uncertainty of pseudotime inference, yields valid p-values, and has high power. https://t.co/AJHuSn9P4w
PseudotimeDE: inference of differential gene expression along cell pseudotime with well-calibrated p-values from single-cell RNA sequencing data https://t.co/iZIhj6N9q5
PseudotimeDE: inference of differential gene expression along cell pseudotime with well-calibrated p-values from single-cell RNA sequencing data https://t.co/3hLQzqvNhK https://t.co/wW4YGiT6GR
PseudotimeDE, from @SongDongyuan & @jsb_ucla , is a method for determining differentially expressed genes from pseudotime data inferred from single cell RNA-seq. It estimates inference uncertainty using subsampling to give well-calibrated p-values https://t.co/0X6Rilclhc https://t.co/W88g43P2mY
PseudotimeDE: inference of differential gene expression along cell pseudotime with well-calibrated p-values from single-cell RNA sequencing data https://t.co/NkUq4rsRmZ #bioRxiv
PseudotimeDE: inference of differential gene expression along cell pseudotime with well-calibrated p-values from single-cell RNA sequencing data | Genome Biology https://t.co/3Tzd8igiIF #Bioinformatics https://t.co/HacbHvDAEF
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…
RT @GenomeBiology: PseudotimeDE, from @SongDongyuan & @jsb_ucla , is a method for determining differentially expressed genes from pseudotim…
@AlbertVilella @satijalab @LGMartelotto @hoheyn Also emerging pseudotime/trajectory DE methods: PseudotimeDE https://t.co/OkCpKYCjmE and others (not comprehensive): https://t.co/zZL9OWVbBv
RT @GenomeBiology: PseudotimeDE, from @SongDongyuan & @jsb_ucla , is a method for determining differentially expressed genes from pseudotim…
RT @jsb_ucla: Our new method PseudotimeDE developed by @SongDongyuan infers differentially expressed (DE) genes along cell pseudotime. It c…
RT @jsb_ucla: Our new method PseudotimeDE developed by @SongDongyuan infers differentially expressed (DE) genes along cell pseudotime. It c…
RT @jsb_ucla: Our new method PseudotimeDE developed by @SongDongyuan infers differentially expressed (DE) genes along cell pseudotime. It c…
RT @jsb_ucla: Our new method PseudotimeDE developed by @SongDongyuan infers differentially expressed (DE) genes along cell pseudotime. It c…
RT @jsb_ucla: Our new method PseudotimeDE developed by @SongDongyuan infers differentially expressed (DE) genes along cell pseudotime. It c…
RT @jsb_ucla: Our new method PseudotimeDE developed by @SongDongyuan infers differentially expressed (DE) genes along cell pseudotime. It c…
RT @jsb_ucla: Our new method PseudotimeDE developed by @SongDongyuan infers differentially expressed (DE) genes along cell pseudotime. It c…
RT @jsb_ucla: Our new method PseudotimeDE developed by @SongDongyuan infers differentially expressed (DE) genes along cell pseudotime. It c…
RT @jsb_ucla: Our new method PseudotimeDE developed by @SongDongyuan infers differentially expressed (DE) genes along cell pseudotime. It c…
RT @jsb_ucla: Our new method PseudotimeDE developed by @SongDongyuan infers differentially expressed (DE) genes along cell pseudotime. It c…
RT @jsb_ucla: Our new method PseudotimeDE developed by @SongDongyuan infers differentially expressed (DE) genes along cell pseudotime. It c…
RT @jsb_ucla: Our new method PseudotimeDE developed by @SongDongyuan infers differentially expressed (DE) genes along cell pseudotime. It c…
RT @ajpbp_AME: PseudotimeDE: inference of differential gene expression along cell pseudotime with well-calibrated p-values from single-cell…
PseudotimeDE: inference of differential gene expression along cell pseudotime with well-calibrated p-values from single-cell RNA sequencing data | Genome Biology https://t.co/FrcBbRxBCq https://t.co/H0qjQ2dmiA
RT @BioDecoded: PseudotimeDE: inference of differential gene expression along cell pseudotime with well-calibrated p-values from single-cel…
RT @BioDecoded: PseudotimeDE: inference of differential gene expression along cell pseudotime with well-calibrated p-values from single-cel…
RT @BioDecoded: PseudotimeDE: inference of differential gene expression along cell pseudotime with well-calibrated p-values from single-cel…
RT @BioDecoded: PseudotimeDE: inference of differential gene expression along cell pseudotime with well-calibrated p-values from single-cel…
RT @BioDecoded: PseudotimeDE: inference of differential gene expression along cell pseudotime with well-calibrated p-values from single-cel…
PseudotimeDE: inference of differential gene expression along cell pseudotime with well-calibrated p-values from single-cell RNA sequencing data | Genome Biology https://t.co/3Tzd8igiIF #Bioinformatics https://t.co/HacbHvDAEF
RT @razoralign: PseudotimeDE: inference of differential gene expression along cell pseudotime with well-calibrated p-values from single-cel…
RT @GenomeBiology: PseudotimeDE, from @SongDongyuan & @jsb_ucla , is a method for determining differentially expressed genes from pseudotim…
RT @razoralign: PseudotimeDE: inference of differential gene expression along cell pseudotime with well-calibrated p-values from single-cel…
RT @razoralign: PseudotimeDE: inference of differential gene expression along cell pseudotime with well-calibrated p-values from single-cel…
PseudotimeDE: inference of differential gene expression along cell pseudotime with well-calibrated p-values from single-cell RNA sequencing data https://t.co/3hLQzqvNhK https://t.co/wW4YGiT6GR
RT @GenomeBiology: PseudotimeDE, from @SongDongyuan & @jsb_ucla , is a method for determining differentially expressed genes from pseudotim…
RT @GenomeBiology: PseudotimeDE, from @SongDongyuan & @jsb_ucla , is a method for determining differentially expressed genes from pseudotim…
RT @GenomeBiology: PseudotimeDE, from @SongDongyuan & @jsb_ucla , is a method for determining differentially expressed genes from pseudotim…
RT @sc_papers: PseudotimeDE: inference of differential gene expression along cell pseudotime with well-calibrated p-values from single-cell…
PseudotimeDE: inference of differential gene expression along cell pseudotime with well-calibrated p-values from single-cell RNA sequencing data https://t.co/JUQYPTGvvZ https://t.co/34uvX3IPi6
RT @GenomeBiology: PseudotimeDE, from @SongDongyuan & @jsb_ucla , is a method for determining differentially expressed genes from pseudotim…
RT @GenomeBiology: PseudotimeDE, from @SongDongyuan & @jsb_ucla , is a method for determining differentially expressed genes from pseudotim…
RT @GenomeBiology: PseudotimeDE, from @SongDongyuan & @jsb_ucla , is a method for determining differentially expressed genes from pseudotim…
PseudotimeDE, from @SongDongyuan & @jsb_ucla , is a method for determining differentially expressed genes from pseudotime data inferred from single cell RNA-seq. It estimates inference uncertainty using subsampling to give well-calibrated p-values https://t.co/0X6Rilclhc https://t.co/W88g43P2mY
RT @jsb_ucla: Our new method PseudotimeDE developed by @SongDongyuan infers differentially expressed (DE) genes along cell pseudotime. It c…
RT @jsb_ucla: Our new method PseudotimeDE developed by @SongDongyuan infers differentially expressed (DE) genes along cell pseudotime. It c…
RT @jsb_ucla: Our new method PseudotimeDE developed by @SongDongyuan infers differentially expressed (DE) genes along cell pseudotime. It c…
PseudotimeDE: inference of differential gene expression along cell pseudotime with well-calibrated p-values from single-cell RNA sequencing data https://t.co/7vV5Wnax5A
RT @jsb_ucla: Our new method PseudotimeDE developed by @SongDongyuan infers differentially expressed (DE) genes along cell pseudotime. It c…
Our new method PseudotimeDE developed by @SongDongyuan infers differentially expressed (DE) genes along cell pseudotime. It considers the uncertainty of pseudotime inference, yields valid p-values, and has high power. https://t.co/AJHuSn9P4w
RT @CompBiolPapers: PseudotimeDE: inference of differential gene expression along cell pseudotime with well-calibrated p-values from single…
PseudotimeDE: inference of differential gene expression along cell pseudotime with well-calibrated p-values from single-cell RNA sequencing data [NEW RESULTS] https://t.co/YJkm24Nyb4
RT @scRNAtools: New tool: PseudotimeDE Inference of differential gene expression along cell pseudotime with well-calibrated p-values from…
New tool: PseudotimeDE Inference of differential gene expression along cell pseudotime with well-calibrated p-values from scRNA-seq https://t.co/AWdwz65d4G
RT @scell_papers: PseudotimeDE: inference of differential gene expression along cell pseudotime with well-calibrated p-values from single-c…
PseudotimeDE: inference of differential gene expression along cell pseudotime with well-calibrated p-values from single-cell RNA sequencing data. https://t.co/MKxaLWcesg
PseudotimeDE: inference of differential gene expression along cell pseudotime with well-calibrated p-values from single-cell RNA sequencing data https://t.co/wDKIpx7ia8
#bioRxiv PseudotimeDE: inference of differential gene expression along cell pseudotime with well-calibrated p-values from single-cell RNA sequencing data #bioinfo https://t.co/SQdq6h4aLV
RT @scell_papers: PseudotimeDE: inference of differential gene expression along cell pseudotime with well-calibrated p-values from single-c…
RT @scell_papers: PseudotimeDE: inference of differential gene expression along cell pseudotime with well-calibrated p-values from single-c…
RT @scell_papers: PseudotimeDE: inference of differential gene expression along cell pseudotime with well-calibrated p-values from single-c…
PseudotimeDE: inference of differential gene expression along cell pseudotime with well-calibrated p-values from single-cell RNA sequencing data https://t.co/iZIhj6N9q5
RT @biorxiv_bioinfo: PseudotimeDE: inference of differential gene expression along cell pseudotime with well-calibrated p-values from singl…
RT @biorxivpreprint: PseudotimeDE: inference of differential gene expression along cell pseudotime with well-calibrated p-values from singl…
PseudotimeDE: inference of differential gene expression along cell pseudotime with well-calibrated p-values from single-cell RNA ... https://t.co/rOHCTCG0oa #biorxiv_bioinfo
PseudotimeDE: inference of differential gene expression along cell pseudotime with well-calibrated p-values from single-cell RNA sequencing data https://t.co/NkUq4rsRmZ #bioRxiv
RT @CMO_oaxaca: Dongyuang Song (UCLA), PseudotimeDE: inference of differential gene expression along cell pseudotime with well-calibrated p…
RT @CMO_oaxaca: Dongyuang Song (UCLA), PseudotimeDE: inference of differential gene expression along cell pseudotime with well-calibrated p…
Dongyuang Song (UCLA), PseudotimeDE: inference of differential gene expression along cell pseudotime with well-calibrated p-values from single-cell RNA sequencing data https://t.co/dhTYy3Cyn6
Dongyuan will be giving a talk in Comp. Genetics & Genomics at 11am PDT. Title: PseudotimeDE: inference of differential gene expression along cell pseudotime with valid p-values https://t.co/uBS6gOIIJ8