An interactive graphical illustration of genetic associations and their biological context
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Updated
Mar 14, 2024 - R
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
Identification of Potent Biomarkers for Prostate Cancer Through AR, Mapk and M-TOR Signaling Pathways Mining
The project involves training micro RNA-based classification models using a prostate cancer dataset.
Modeling of biochemical relapse-free survival in PCa with expression of collagen-related genes
Expression, biological and clinical relevance of the collagen pathway genes in prostate carcinoma
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)
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