Suppl Data 2 from Whole Slide Imaging-Based Prediction of <i>TP53</i> Mutations Identifies an Aggressive Disease Phenotype in Prostate Cancer

<p>Contains 1. significantly differentially expressed genes between samples with high and low gleason grade ("Gleason_high_low"), 2. the pathway overrepresentations for these genes ("MSigDB_Gleason_HL", "Reactome_Gleason_HL"), 3. the overlapping genes between &quo...

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Hlavní autor:	Marija Pizurica (17060224) (author)
Další autoři:	Maarten Larmuseau (17060227) (author), Kim Van der Eecken (17060230) (author), Louise de Schaetzen van Brienen (17060233) (author), Francisco Carrillo-Perez (16449810) (author), Simon Isphording (17060236) (author), Nicolaas Lumen (17060239) (author), Jo Van Dorpe (15098103) (author), Piet Ost (17060242) (author), Sofie Verbeke (17060245) (author), Olivier Gevaert (16799549) (author), Kathleen Marchal (9090926) (author)
Vydáno:	2025
Témata:	Cancer Tumor Biology Cancer Detection and Diagnosis Methods and Technology Biomarkers Prognostic biomarkers Computational Methods Artificial intelligence & machine learning Genitourinary Cancers Prostate cancer Tumor Heterogeneity Tumor Microenvironment Tumor-stromal cell interactions
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Suppl Data 2 from Whole Slide Imaging-Based Prediction of <i>TP53</i> Mutations Identifies an Aggressive Disease Phenotype in Prostate Cancer

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