Alternatives and similar repositories for BreastCancerSurvivalIntegration:

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

• Lifoof / MoGCN
  Multi-omics integration method using AE and GCN
  ☆34Updated last year
• vandijklab / scGAT
  Code to reproduce results in Ravindra NG* & Sehanobish A* et al. 2020, "Disease State Prediction From Single-Cell Data Using Graph Attent…
  ☆16Updated 4 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 3 years ago
• biomed-AI / GraphSCI
  Imputing Single-cell RNA-seq data by combining Graph Convolution and Autoencoder Neural Networks
  ☆19Updated 9 months ago
• HakimBenkirane / CustOmics
  A deep-learning framework for multi-omics integration
  ☆25Updated last year
• xiaoyeye / GCNG
  using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions
  ☆56Updated 3 years ago
• hui2000ji / scETM
  A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.
  ☆49Updated 3 years ago
• xiaoyeye / CCST
  Cell clustering for spatial transcriptomics data with graph neural network
  ☆59Updated 2 years ago
• hosseinshn / MOLI
  MOLI: Multi-Omics Late Integration with deep neural networks for drug response prediction
  ☆54Updated 4 years ago
• Hua0113 / DCAP
  DCAP:Integrating multi-omics data with deep learning for predicting cancer prognosis
  ☆21Updated 4 years ago
• QSong-github / scGCN
  scGCN is a graph convolutional networks algorithm for knowledge transfer in single cell omics
  ☆41Updated 2 years ago
• GaoLabXDU / MultiOmicsIntegrationStudy
  Experimental evaluation and comparison of multi-omics data integration methods for cancer subtyping
  ☆11Updated 3 years ago
• davidbuterez / CellVGAE
  An unsupervised scRNA-seq analysis workflow with graph attention networks
  ☆24Updated last year
• zpliulab / GENELink
  ☆27Updated 2 years ago
• ml4bio / CLEAR
  CLEAR: Self-supervised contrastive learning for integrative single-cell RNA-seq data analysis
  ☆33Updated 2 years ago
• yhr91 / GEARS_misc
  ☆18Updated 5 months ago
• juexinwang / scGNN
  scGNN (single cell graph neural networks) for single cell clustering and imputation using graph neural networks
  ☆144Updated 8 months ago
• cmzuo11 / stMVC
  ☆11Updated 11 months ago
• Barabasi-Lab / COVID-19
  Supplementary code for the paper: Network Medicine Framework for Identifying Drug Repurposing Opportunities for COVID-19
  ☆27Updated 4 years ago
• Blair1213 / TREE
  Interpretable identification of cancer genes across biological networks via transformer-powered graph representation learning
  ☆16Updated last week
• schulter / EMOGI
  An explainable multi-omics graph integration method based on graph convolutional networks to predict cancer genes.
  ☆149Updated 2 years ago
• cantinilab / momix-notebook
  ☆65Updated last year
• xuyungang / scIGANs
  Generative adversarial networks for single-cell RNA-seq imputation
  ☆39Updated 4 years ago
• gevaertlab / metalearning_survival
  ☆15Updated 4 years ago
• pievos101 / GNN-SubNet
  Disease subnetwork detection with explainable Graph Neural Networks
  ☆22Updated 10 months ago
• lanagarmire / DeepProg
  Deep-Learning framework for multi-omic and survival data integration
  ☆80Updated last year
• TencentAILabHealthcare / MLA-GNN
  ☆42Updated 3 months ago
• melobio / Concerto-reproducibility
  ☆38Updated 2 years ago
• ttgump / scDCC
  scDCC: Single Cell Deep Constrained Clustering
  ☆41Updated 8 months ago
• zeochoy / tcga-embedding
  using shallow neural network layer (embedding) to infer gene-gene/sample relationship from gene expression data
  ☆21Updated 6 years ago