Alternatives and similar repositories for GCN_Cancer

Users that are interested in GCN_Cancer are comparing it to the libraries listed below

• schulter / EMOGI
  An explainable multi-omics graph integration method based on graph convolutional networks to predict cancer genes.
  ☆155Updated 3 years ago
• hosseinshn / MOLI
  MOLI: Multi-Omics Late Integration with deep neural networks for drug response prediction
  ☆55Updated 4 years ago
• ruiyi-zhang / scPretrain
  scPretrain: Multi-task self-supervised learning for cell type classification
  ☆23Updated 3 years ago
• TencentAILabHealthcare / MLA-GNN
  ☆43Updated 9 months ago
• chenzRG / Cancer-Multi-Omics-Benchmark
  ☆49Updated 2 months ago
• txWang / MOGONET
  MOGONET (Multi-Omics Graph cOnvolutional NETworks) is a novel multi-omics data integrative analysis framework for classification tasks in…
  ☆170Updated 4 years ago
• juexinwang / scGNN
  scGNN (single cell graph neural networks) for single cell clustering and imputation using graph neural networks
  ☆150Updated last year
• lanagarmire / DeepProg
  Deep-Learning framework for multi-omic and survival data integration
  ☆84Updated last year
• Lifoof / MoGCN
  Multi-omics integration method using AE and GCN
  ☆36Updated 2 years ago
• ml4bio / CLEAR
  CLEAR: Self-supervised contrastive learning for integrative single-cell RNA-seq data analysis
  ☆34Updated 2 years ago
• emreg00 / toolbox
  Toolbox - generic utilities for data processing (e.g., parsing, proximity, guild scoring, etc...)
  ☆112Updated 3 years ago
• marakeby / pnet_prostate_paper
  P-NET, Biologically informed deep neural network for prostate cancer classification and discovery
  ☆158Updated 3 years ago
• kimmo1019 / DeepCDR
  Cancer Drug Response Prediction via a Hybrid Graph Convolutional Network
  ☆88Updated 2 years ago
• vandijklab / scGAT
  Code to reproduce results in Ravindra NG* & Sehanobish A* et al. 2020, "Disease State Prediction From Single-Cell Data Using Graph Attent…
  ☆17Updated 5 years ago
• xiaoyeye / GCNG
  using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions
  ☆56Updated 4 years ago
• HakimBenkirane / CustOmics
  A deep-learning framework for multi-omics integration
  ☆27Updated 2 years ago
• xiaoyeye / CCST
  Cell clustering for spatial transcriptomics data with graph neural network
  ☆63Updated 2 years ago
• zeochoy / tcga-embedding
  using shallow neural network layer (embedding) to infer gene-gene/sample relationship from gene expression data
  ☆21Updated 6 years ago
• DabinJeong / GOAT_multi-omics_biomarker
  Multi-omics biomarker discovery tool exploiting a gene-gene interaction network
  ☆16Updated last year
• jingcheng-du / Gene2vec
  Gene2Vec: Distributed Representation of Genes Based on Co-Expression
  ☆123Updated 3 years ago
• pievos101 / GNN-SubNet
  Disease subnetwork detection with explainable Graph Neural Networks
  ☆24Updated last year
• hui2000ji / scETM
  A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.
  ☆53Updated 3 years ago
• zhangxiaoyu11 / OmiEmbed
  Multi-task deep learning framework for multi-omics data analysis
  ☆48Updated 3 years ago
• ChengF-Lab / deepDR
  ☆57Updated 6 years ago
• mims-harvard / SHEPHERD
  SHEPHERD: Few shot learning for phenotype-driven diagnosis of patients with rare genetic diseases
  ☆71Updated 2 months ago
• LiuLab-Bioelectronics-Harvard / UnitedNet
  ☆48Updated last year
• HantaoShu / DeepSEM
  ☆85Updated 2 years ago
• zhangxiaoyu11 / OmiVAE
  End-to-end deep learning model for low dimensional latent space extraction and multi-class classification on multi-omics datasets.
  ☆34Updated 4 years ago
• biomed-AI / GraphSCI
  Imputing Single-cell RNA-seq data by combining Graph Convolution and Autoencoder Neural Networks
  ☆19Updated last year
• ruoqi-liu / DeepIPW
  Code for paper "A deep learning framework for drug repurposing via emulating clinical trials on real world patient data" (Accepted to Nat…
  ☆98Updated 3 years ago