Corpus 1,273 assessed · 1,174 scored · 643 reproduced ≥75 · 169 flagged ·∅ 74.1/100

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Filters: Interpretability ✕ candidate genes ✕ microarray-expr ✕ clear all

1 matching publication(s)

Publication	Journal	Year	Score	Verdict
Integrative transcriptomic and machine learning framework reveals candidate genes and potential mechanisms of aflatoxin B1 exposure in breast cancer. PMID 41688730	Sci Rep	2026	83	L1 83/100

Integrative transcriptomic and machine learning framework reveals candidate genes and potential mechanisms of aflatoxin B1 exposure in breast cancer.

PMID 41688730 · Sci Rep · 2026

L1 83/100