Exaggerated false positives by popular differential expression ...

When identifying differentially expressed genes between two conditions using human population RNA-seq samples, we found a phenomenon by ...

This paper uses poorly controlled datasets to try and make inferences regarding which tools work best for bulk RNA-seq analysis. They also misrepresent the ...

Exaggerated false positives by popular differential expression ...

When identifying differentially expressed genes between two conditions using human population RNA-seq samples, we found a phenomenon by permutation ...

A large-sample crisis? Exaggerated false positives by popular ...

We report a surprising phenomenon about identifying differentially expressed genes (DEGs) from population-level RNA-seq data: two popular ...

(PDF) Exaggerated false positives by popular differential expression ...

Abstract and Figures. When identifying differentially expressed genes between two conditions using human population RNA-seq samples, we found a ...

Winsorization greatly reduces false positives by popular differential ...

A recent paper [1] reported that two popular differential expression analysis (DEA) tools, DESeq2 and edgeR, suffered from high false positive ...

Exaggerated false positives by popular differential expression ...

AbstractWhen identifying differentially expressed genes between two conditions using human population RNA-seq samples, we found a phenomenon by permutation ...

Lior Pachter on X: ""...two popular bioinformatics methods, DESeq2 ...

Conversation · genomebiology.biomedcentral.com · Exaggerated false positives by popular differential expression methods when analyzing human...

A large-sample crisis or not? Exaggerated false positives by popular ...

A large-sample crisis or not? Exaggerated false positives by popular differential expression methods on human population RNA-seq samples. Sanity ...

(PDF) A large-sample crisis? Exaggerated false positives by popular ...

We report a surprising phenomenon about identifying differentially expressed genes (DEGs) from population-level RNA-seq data: two popular ...

Exaggerated false positives by popular differential expression ...

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What statistical test to apply for DE after CibersortX deconvolution?

Li et al 2022 Exaggerated false positives by popular differential expression methods when analyzing human population samples" Genome Biology: 79.

DESeq2 and edgeR should no longer be the default choices for ...

Li, Yumei, Xinzhou Ge, Fanglue Peng, Wei Li, and Jingyi Jessica Li. “Exaggerated False Positives by Popular Differential Expression Methods When ...

Cindy K. Pino on LinkedIn: Exaggerated false positives by popular ...

DESeq2 might no longer be the de facto for analyzing differential gene expression. A recent publication in Genome Biology used relatively ...

Reducing false positives in differential analyses of large RNA ...

program. Source – UCLA. Li Y, Ge X, Peng F, Li W, Li JJ. (2022) Exaggerated false positives by popular differential expression methods when analyzing human ...

Raquel Manzano García on LinkedIn: Exaggerated false positives ...

Exaggerated false positives by popular differential expression methods when analyzing human population samples - Genome Biology · More Relevant ...

DELongSeq for efficient detection of differential isoform expression ...

However, ignorance of the variability of expression estimation can result in increased false positive detection because the isoform expression ...

Controlling False Positive Rates in Methods for Differential Gene ...

We highlight state-of-the-art methods for whole-genome differential expression analysis from RNA-Seq data by placing them within a common framework that allows ...

GENIX enables comparative network analysis of single-cell RNA ...

12. Li, Y. ∙ Ge, X. ∙ Peng, F. ... Exaggerated false positives by popular differential expression methods when analyzing human population ...

Excess False Positive Rates in Methods for Differential Gene ...

The excess false positives are likely caused by apparently small biases in estimation of negative binomial dispersion and, perhaps surprisingly, occur mostly ...