Article
AWmeta empowers adaptively-weighted transcriptomic meta-analysis
2025-05-07
Abstract excerpt
Transcriptomic meta-analysis enhances biological veracity and reproducibility by integrating diverse studies, yet prevailing P -value or effect-size integration approaches exhibit limited power to resolve subtle signatures. We present AWmeta, an adaptively-weighted framework that unifies both paradigms. Benchmarking across 35 Parkinson’s and Crohn’s disease datasets spanning diverse tissues and adaptively down-we...
Topics
Open a Topic to create a Post that cites this publication.
Identifiers and source
- Literature Corpus work
- d731e3c9-bc0c-5af9-8499-f8e43df00c17
- DOI
- 10.1101/2025.05.06.650408
