jdacs4c-improve Goto Github PK

.github

Public README for organization

aitl

A repository for Adversarial Inductive Transfer Learning with input and output space adaptation

benchmark-data-pilot1

Construction of benchmark datasets

benchmark-dataset-generator

Construction of benchmark datasets

benchmarks

ECP-CANDLE Benchmarks

big-drp

cadre

Candlized CADRE model

canceromicsnet

A Graph Neural Network Model for prediction of the effectiveness of a drug on a given cancer cell lines

candle_lib

code-ae

Coherent Deconfounding Autoencoder (CODE-AE) can extract both common biological signals shared by incoherent samples and private representations unique to each data set, transfer knowledge learned from cell line data to tissue data, and separate confounding factors from them

cross_study_gen

Cross-study generalization analysis for drug response prediction.

deepcdr

Cancer Drug Response Prediction via a Hybrid Graph Convolutional Network

deepttc

DeepTTC: a transformer-based model for predicting cancer drug response

deers

Interpretable deep recommender system model for prediction of kinase inhibitor efficacy across cancer cell lines

dgsdrp

The source code of paper "deep graph and sequence representation learning for drug response prediction"

docs

drpreter

DRPreter: Interpretable Anticancer Drug Response Prediction Using Knowledge-Guided Graph Neural Networks and Transformer

drugcell

A visible neural network model for drug response prediction

druggcn

Predict drug response with graph convolutional network.

drvae

Drug Response Variational Autoencoder

dualgcn

gadrp

GADRP: graph convolutional networks and autoencoders for cancer drug response prediction

gaecds

graphcdr

GraphCDR: A graph neural network method with contrastive learning for cancer drug response prediction

graphdrp

gratransdrp

hidra

HiDRA

hpo

Setup and configs for HPO runs

igtd

Image Generator for Tabular Data (IGTD): Converting Tabular Data to Images for Deep Learning Using Convolutional Neural Networks

improve

Libraries and scripts for basic IMPROVE functionalities