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aiforcancerdriver

The platform for cancer driver detection based on AI methods

cancerdriversreview

The supplementary files of the review paper for cancer drivers

codes

FDP codes and data

dapl

Predicting clinical anticancer drug response of patient by using domain alignment and prototypical learning

ddcmnmf

The source code of method for predicting cancer subtype

dgcl

DGCL: a contrastive learning method for predicting cancer driver genes based on graph diffusion

dytidriver

Source code and datasets of DtTidriver

entrorank

An entropy based method for identifying cancer driver genes

ergcn

fdp

FDP codes and data

gm-gcn

The code and data for the paper "MiRNA-gene network embedding for predicting cancer driver genes"

hgcnmda

Predicting miRNA-disease associations from miRNA-gene-disease heterogeneous network with multi-relational graph convolutional network model

hhmda

Prediction of miRNA-disease association based on heterogeneous hypergraph convolution and heterogeneous graph multi-scale convolution

hlmg

Hierarchical graph representation learning with multi-granularity features for anti-cancer drug response prediction

hrlcdr

Hypergraph Representation Learning for Cancer Drug Response Prediction

isbra

mcagcn

An Explainable Method for Alzheimer’s Disease Diagnosis with Brain Imaging Genetic Data by Incorporating Multi-stream Attention Mechanisms and Graph Convolutional Networks

mcrgcn

Supervised graph contrastive learning for cancer subtype identification through multi-omics data integration

mdn-nmtf

Predicting miRNA-disease association based on modularity preserving heterogeneous network embedding

mhclmda

MHCLMDA:Multi-hypergraph contrastive learning for miRNA-disease association prediction

mngcl

Multi-graph contrastive learning for cancer driver gene identification

mofgcn

mrngcn

Integrating multiple networks to identify cancer driver genes based on heterogeneous graph convolution with self-attention mechanism

mtgcn

mtigcn

Improving anti-cancer drug response prediction using multi-task learning on graph convolutional networks

multi-ensem

The data and sourcecode of the paper entitled "Dai, Wei, Bingxi Chen, Wei Peng, Xia Li, Jiancheng Zhong, and Jianxin Wang. "A Novel Multi-Ensemble Method for Identifying Essential Proteins." Journal of Computational Biology 28, no. 7 (2021): 637-649."

mutect

MuTect -- Accurate and sensitive cancer mutation detection

mvclst

A multi-view comparative learning method for spatial transcriptomics data clustering

mvfa

the code of Multi-View Feature Aggregation for predicting microbe- disease association

network-embedding

Network embedding protein-protein interaction network for human essential genes identification