An interactive graphical illustration of genetic associations and their biological context

Train and Predict Cancer Subtype with Keras Model based on Mutational Signatures

Code for the Cancers paper (Functional Linkage of RKIP to the Epithelial to Mesenchymal Transition and Autophagy during the Development of Prostate Cancer)

prostateredcap: R package and workflow for a reproducible clinical-genomic database of prostate cancer

Using biological constraints to improve the performance of transcriptomic gene signatures

This repository includes the code for the paper "Detection of Prostate Cancer with Multi-Parametric MRI Utilizing the Anatomic Structure of the Prostate".

Distinct mesenchymal cell states mediate prostate cancer progression

The project involves training micro RNA-based classification models using a prostate cancer dataset.

8q24 finemapping results

Expression, biological and clinical relevance of the collagen pathway genes in prostate carcinoma

I proved the probabilities of freedom from biochemical recurrence (BCR) among prostate cancer patients are significantly different using stratified Logrank test. I also built a Cox's PH model to identify which genes and demographic factors have effect on survival.

Scripts for reproducing the poster: Co-regulation of RKIP and autophagy genes by VEZF1 and ERCC6 in prostate cancer

Predicting Discontinuation of Docetaxel Treatment for Metastatic Castration-Resistant Prostate Cancer (mCRPC)