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

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...

Full beskrivning

Sparad:
Bibliografiska uppgifter
Huvudupphovsman: Marija Pizurica (17060224) (author)
Övriga upphovsmän: 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)
Publicerad: 2025
Ämnen:
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
Taggar: Lägg till en tagg
Inga taggar, Lägg till första taggen!

Liknande verk