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4 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
Exploration of the shared diagnostic genes and molecular mechanism between obesity and atherosclerosis via bioinformatic analysis. PMID 39825072	Sci Rep	2025	76	L1 76/100
Community assessment of methods to deconvolve cellular composition from bulk gene expression. PMID 39191725	Nat Commun	2024	63	L1 63/100
A reference profile-free deconvolution method to infer cancer cell-intrinsic subtypes and tumor-type-specific stromal profiles. PMID 32111252	Genome Med	2020	91	L1 91/100

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

Exploration of the shared diagnostic genes and molecular mechanism between obesity and atherosclerosis via bioinformatic analysis.

PMID 39825072 · Sci Rep · 2025

L1 76/100

Community assessment of methods to deconvolve cellular composition from bulk gene expression.

PMID 39191725 · Nat Commun · 2024

L1 63/100

A reference profile-free deconvolution method to infer cancer cell-intrinsic subtypes and tumor-type-specific stromal profiles.

PMID 32111252 · Genome Med · 2020

L1 91/100