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Pathway impact analysis (PIS) for robust and comprehensive interpretation of differentially expressed genes (DEGs)

2025-09-08

Abstract excerpt

In transcriptome analysis, identifying differentially expressed genes (DEGs) is fundamental for understanding cellular responses and elucidating disease mechanisms. However, conventional DEG selection often relies on arbitrary thresholds for fold change and statistical significance, which are sensitive to experimental noise and sample size, thereby affecting reproducibility and biological interpretability. We pres...

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Literature Corpus work
db30b568-9691-52dc-a989-477f3e8e5a63
DOI
10.1101/2025.09.08.674792
Open publication

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Pathway impact analysis (PIS) for robust and comprehensive interpretation of differentially expressed genes (DEGs)DOI 10.1101/2025.09.08.674792
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