ke dandan's starred repositories
Machine-Learning-on-Breast-Cancer-Survival-Prediction
We used different machine learning approaches to build models for detecting and visualizing important prognostic indicators of breast cancer survival rate. This repository contains R source codes for 5 steps which are, model evaluation, Random Forest further modelling, variable importance, decision tree and survival analysis. These can be a pipeline for researcher who are interested to conduct studies on survival prediction of any type of cancers using multi model data.
SurvivalAnalysis
Survival modelling using Cox proportional hazard regression model
survival-analysis-shiny-app
A Shiny R App that performs Kaplan-Meier Survival analysis
Survival-analysis-in-R
Coursera: Survival analysis in R for public health - Alex Bottle (Imperial College London)
RNA-seq-survival-analysis
Survival analysis on gene expression (RNA-seq) in bladder cancer TCGA data