CausalCoxMGM

Implementation of CausalCoxMGM algorithm and scripts for analysis of simulated and real-world biomedical datasets.

Installation

To install CoxMGM and CausalCoxMGM, run the following command in the terminal:

R CMD INSTALL rCausalMGM 

or alternatively:

R CMD INSTALL rCausalMGM/rCausalMGM_1.0.tar.gz 

Demonstration of CausalCoxMGM with the WHAS500 dataset

First, we begin by loading the necessray R packages for this analysis.

library(rCausalMGM) 
library(survival)
...

GBMatch_CNN

Work in progress... Predicting TS & risk from glioblastoma whole slide images

Reference

Upcoming paper: stay tuned...

Dependencies

python 3.7.7

randaugment by Khrystyna Faryna: https://github.com/tovaroe/pathology-he-auto-augment

tensorflow 2.1.0

scikit-survival 0.13.1

pandas 1.0.3

lifelines 0.25.0

Description

The pipeline implemented here predicts transcriptional subtypes and survival of glioblastoma patients based on H&E stained whole slide scans. Sample data is ...

MMV Im2Im Transformation

A generic python package for deep learning based image-to-image transformation in biomedical applications

The main branch will be further developed in order to be able to use the latest state of the art techniques and methods in the future. To reproduce the results of our manuscript, we refer to the branch ...