cancer-prognosis Goto Github PK

4dsurvival

Deep learning cardiac motion analysis for survival prediction

advmil

The implementation of Adversarial Multiple Instance Learning for the Survival Analysis on Whole-Slide Images

breastcancersurvivalintegration

dcap

DCAP:Integrating multi-omics data with deep learning for predicting cancer prognosis

dearcascadedwx

Public codes for Cascaded Wx algorithm to select genes relative with patients survivals.

deepprog

Deep-Learning framework for multi-omic and survival data integration

deepsurv

DeepSurv is a deep learning approach to survival analysis.

gdp

Group lasso based Deep Neural Network for Cancer Prognosis

monti

MONTI is a tool for analyzing large multi-omics cancer cohort data in association with clinical featuers

multimodalprognosis

Deep Learning with Multimodal Representation for Pancancer Prognosis Prediction

pc-chip

Pan-cancer computational histopathology reveals mutations, tumor composition and prognosis

pycox

Survival analysis with PyTorch

salmon

SALMON: Survival Analysis Learning with Multi-Omics Neural Networks

two-stage-cox-nnet

wsisia_

implement "WSISA: Making Survival Prediction from Whole Slide Histopathological Images"