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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التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Marija Pizurica (17060224) (author)
مؤلفون آخرون:	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)
منشور في:	2025
الموضوعات:	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
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

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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