A systematic evaluation of explainable AI methods for high-dimensional transcriptome-based cancer survival prediction

his study establishes an empirical framework for selecting trustworthy AI explanation tools for precision medicine.

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Publication Details

Journal
Frontiers in Physiology
Published
2026-04-22
DOI
https://doi.org/10.3389/fphys.2026.1830956
Primary Topic
Explainable Artificial Intelligence (XAI)
Type
article
Field-Weighted Citation Impact
0.00
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article

A systematic evaluation of explainable AI methods for high-dimensional transcriptome-based cancer survival prediction

Sen Yang, 左熠熠, Wenxue Zhao
Frontiers in Physiology
Explainable Artificial Intelligence (XAI)
article

A systematic evaluation of explainable AI methods for high-dimensional transcriptome-based cancer survival prediction

Sen Yang, 左熠熠, Wenxue Zhao
article en

Abstract

his study establishes an empirical framework for selecting trustworthy AI explanation tools for precision medicine.

Frontiers in PhysiologyVol. 17
Sun Yat-sen University (CN), Sixth Affiliated Hospital of Sun Yat-sen University (CN), Sun Yat-sen University Cancer Center (CN)
Quality Education
Openalex Percentile: Top 20%
Explainable Artificial Intelligence (XAI)
DOIOpen Access PDFOpenAlex
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