A text-based computational framework for patient -specific modeling for classification of cancers. iScience (2022).

bimodal DNN for NSCLC patient overall survival prediction

Reproducibility materials for "Bayesian Hierarchical Varying-sparsity Regression Models with Application to Cancer Proteogenomics" by Yang Ni, Francesco C. Stingo, Min Jin Ha, Rehan Akbani & Veerabhadran Baladandayuthapani

This site provides complete information on a review written on cancer resoureces

This GitHub repository contains the code used in the data analysis portion of the Bachelor's Degree Project: Identification of an Immune Infiltration Signature in Breast Cancer Subtypes and its Association with Tumor Clinicopathological Characteristics and Patient Outcome by Linn Berglund, Olivia Blomberg, Stephanie Mobedjina, & Alice Åhlund