Back to search

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
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
AWmeta empowers adaptively-weighted transcriptomic meta-analysisDOI 10.1101/2025.05.06.650408
Select a neighboring publication to make it the new centre.