Researchtransformersmulti omicssurvival analysisgraph transformer
CoFormerSurv Introduces Collaborative Transformer For Survival
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8.0
Wen and Li (published January 7, 2026 in PLoS Computational Biology) propose CoFormerSurv, a collaborative Transformer framework for multi-omics survival analysis that pairs an inter-omics Transformer with an inter-sample graph Transformer. Evaluated on TCGA and PCAWG cohorts, CoFormerSurv improves feature learning and Cox‑PH survival prediction versus single-Transformer and existing models; the authors release code and preprocessed data publicly.
Scoring Rationale
Peer-reviewed method with public code and clear performance gains; novelty is incremental and mainly impacts the bioinformatics vertical.
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