Replacing normalizations with interval assumptions enhances differential expression and differential abundance analyses

Abstract Background Methods for differential expression and differential abundance analysis often rely on normalization to address sample-to-sample variation in sequencing depth. However, normalizations imply strict, unrealistic assumptions about the unmeasured scale of biological systems (e.g., mic...

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Bibliographic Details
Main Authors: Kyle C. McGovern, Justin D. Silverman
Format: Article
Language:English
Published: BMC 2025-07-01
Series:BMC Bioinformatics
Online Access:https://doi.org/10.1186/s12859-025-06177-2
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