13148_2019_736_MOESM5_ESM.pdf (1.79 MB)
MOESM5 of Random forest-based modelling to detect biomarkers for prostate cancer progression
journal contribution
posted on 2019-10-23, 08:24 authored by Reka Toth, Heiko Schiffmann, Claudia Hube-Magg, Franziska Büscheck, Doris Höflmayer, Sören Weidemann, Patrick Lebok, Christoph Fraune, Sarah Minner, Thorsten Schlomm, Guido Sauter, Christoph Plass, Yassen Assenov, Ronald Simon, Jan Meiners, Clarissa GerhäuserAdditional file 5: Figure S3. Heatmap of the selected CpG sites in the ICGC prostate cancer (left) and TCGA PRAD (right) validation datasets. Each column represents a sample with predicted good or poor prognosis, while rows represent selected differentially methylated CpG sites. Annotations on the left side indicate top ranked candidate genes associated with most informative CpG sites. Low and high methylation beta values in a range from 0 to 1 are shown in a blue to red color scale. BCR: PSA-based biochemical recurrence.
