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 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…
  ☆16Updated 5 years ago
• Hua0113 / DCAP
  DCAP:Integrating multi-omics data with deep learning for predicting cancer prognosis
  ☆21Updated 4 years ago
• xiaoyeye / GCNG
  using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions
  ☆56Updated 3 years ago
• zpliulab / GENELink
  ☆31Updated 2 years ago
• hui2000ji / scETM
  A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.
  ☆50Updated 3 years ago
• biomed-AI / GraphSCI
  Imputing Single-cell RNA-seq data by combining Graph Convolution and Autoencoder Neural Networks
  ☆19Updated 11 months 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
• HakimBenkirane / CustOmics
  A deep-learning framework for multi-omics integration
  ☆26Updated last year
• hosseinshn / MOLI
  MOLI: Multi-Omics Late Integration with deep neural networks for drug response prediction
  ☆54Updated 4 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
• lanagarmire / DeepProg
  Deep-Learning framework for multi-omic and survival data integration
  ☆82Updated last year
• xiaoyeye / CCST
  Cell clustering for spatial transcriptomics data with graph neural network
  ☆62Updated 2 years ago
• xuyungang / scIGANs
  Generative adversarial networks for single-cell RNA-seq imputation
  ☆39Updated 4 years ago
• GaoLabXDU / MultiOmicsIntegrationStudy
  Experimental evaluation and comparison of multi-omics data integration methods for cancer subtyping
  ☆13Updated 3 years ago
• ChihyunPark / DNN_for_ADprediction
  ☆19Updated 4 years ago
• menchelab / MultiOme
  Network-based project to explore gene connectivity through biological scales
  ☆23Updated 7 months ago
• davidbuterez / CellVGAE
  An unsupervised scRNA-seq analysis workflow with graph attention networks
  ☆23Updated 2 years ago
• cantinilab / momix-notebook
  ☆66Updated last year
• HarveyYan / RNATracker
  Prediction of mRNA subcellular localization using deep recurrent neural networks
  ☆15Updated 5 years ago
• lab-conrad / resVAE
  resVAE is a restricted latent variational autoencoder that we wrote to uncover hidden structures in gene expression data, especially usin…
  ☆12Updated 2 years ago
• xiaoyeye / CNNC
  covolutional neural network based coexpression analysis
  ☆77Updated 4 years ago
• TencentAILabHealthcare / MLA-GNN
  ☆42Updated 5 months ago
• carpenter-singh-lab / 2022_Haghighi_NatureMethods
  High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations
  ☆48Updated 4 months ago
• edianfranklin / autoencoder_for_cancer_subtype
  ☆11Updated 4 years ago
• schulter / EMOGI
  An explainable multi-omics graph integration method based on graph convolutional networks to predict cancer genes.
  ☆152Updated 3 years ago
• pievos101 / GNN-SubNet
  Disease subnetwork detection with explainable Graph Neural Networks
  ☆23Updated last year
• QSong-github / scGCN
  scGCN is a graph convolutional networks algorithm for knowledge transfer in single cell omics
  ☆40Updated 2 years ago
• juexinwang / scGNN
  scGNN (single cell graph neural networks) for single cell clustering and imputation using graph neural networks
  ☆145Updated 10 months ago
• ruiyi-zhang / scPretrain
  scPretrain: Multi-task self-supervised learning for cell type classification
  ☆23Updated 3 years ago