Survival prediction performances. Comparison of the discrimination of the models for the 8 TCGA cohorts, determined by the Concordance Index (C-index %) the standard deviation across the folds.

Survival prediction performances. Comparison of the discrimination of the models for the 8 TCGA cohorts, determined by the Concordance Index (C-index %) the standard deviation across the folds.

<p>Survival prediction performances. Comparison of the discrimination of the models for the 8 TCGA cohorts, determined by the Concordance Index (C-index %) the standard deviation across the folds.</p>

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Bibliographic Details
Main Author:	Hakim Benkirane (14725564) (author)
Other Authors:	Maria Vakalopoulou (21560771) (author), David Planchard (5843483) (author), Julien Adam (3497519) (author), Ken Olaussen (3497504) (author), Stefan Michiels (108030) (author), Paul-Henry Cournède (14004669) (author)
Published:	2025
Subjects:	Medicine Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified whole slide images introducing substantial correlations extend enrichment analysis different cancer types despite recent advances characterizing cancer presents based approach designed distinct biological levels within data sources oncology </ p div >< p weakly supervised tasks unravel pathway activation readily interpretable manner representing multimodal data supervised tasks robust manner gene levels spatial data missing data interpretable fusion histopathology data validation cohorts tumor ’ publicly available precision medicine novel deep multimodal relationships molecular profiling method lies medical domain interpretation scores interpretable multi help understand complex relationships also deals
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