10.6084/m9.figshare.10027106.v1
Reka Toth
Reka
Toth
Heiko Schiffmann
Heiko
Schiffmann
Claudia Hube-Magg
Claudia
Hube-Magg
Franziska Büscheck
Franziska
Büscheck
Doris Höflmayer
Doris
Höflmayer
Sören Weidemann
Sören
Weidemann
Patrick Lebok
Patrick
Lebok
Christoph Fraune
Christoph
Fraune
Sarah Minner
Sarah
Minner
Thorsten Schlomm
Thorsten
Schlomm
Guido Sauter
Guido
Sauter
Christoph Plass
Christoph
Plass
Yassen Assenov
Yassen
Assenov
Ronald Simon
Ronald
Simon
Jan Meiners
Jan
Meiners
Clarissa Gerhäuser
Clarissa
Gerhäuser
MOESM5 of Random forest-based modelling to detect biomarkers for prostate cancer progression
Springer Nature
2019
differentially methylated CpG sites
TCGA
BCR
prostate cancer progression
CpG sites
Random forest-based modelling
PRAD
ICGC prostate cancer
methylation beta values
MOESM
2019-10-23 08:24:23
Journal contribution
https://springernature.figshare.com/articles/journal_contribution/MOESM5_of_Random_forest-based_modelling_to_detect_biomarkers_for_prostate_cancer_progression/10027106
Additional 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.