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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| 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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