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
  ☆33Updated 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
• xiaoyeye / GCNG
  using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions
  ☆56Updated 3 years ago
• biomed-AI / GraphSCI
  Imputing Single-cell RNA-seq data by combining Graph Convolution and Autoencoder Neural Networks
  ☆19Updated 6 months ago
• xiaoyeye / CCST
  Cell clustering for spatial transcriptomics data with graph neural network
  ☆58Updated last year
• hui2000ji / scETM
  A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.
  ☆49Updated 3 years ago
• zhangxiaoyu11 / OmiVAE
  End-to-end deep learning model for low dimensional latent space extraction and multi-class classification on multi-omics datasets.
  ☆31Updated 3 years ago
• zpliulab / GENELink
  ☆26Updated 2 years ago
• GaoLabXDU / MultiOmicsIntegrationStudy
  Experimental evaluation and comparison of multi-omics data integration methods for cancer subtyping
  ☆11Updated 3 years ago
• bowang87 / SIMLR_PY
  Python Implementation of SIMLR for single-cell visualization and analysis
  ☆22Updated 2 years ago
• davidbuterez / CellVGAE
  An unsupervised scRNA-seq analysis workflow with graph attention networks
  ☆24Updated last year
• HakimBenkirane / CustOmics
  A deep-learning framework for multi-omics integration
  ☆24Updated last year
• juexinwang / scGNN
  scGNN (single cell graph neural networks) for single cell clustering and imputation using graph neural networks
  ☆139Updated 5 months ago
• QSong-github / scGCN
  scGCN is a graph convolutional networks algorithm for knowledge transfer in single cell omics
  ☆41Updated 2 years ago
• hosseinshn / MOLI
  MOLI: Multi-Omics Late Integration with deep neural networks for drug response prediction
  ☆53Updated 4 years ago
• kodaim1115 / scMM
  ☆17Updated 3 years ago
• rampasek / DrVAE
  Drug Response Variational Autoencoder
  ☆28Updated 5 years ago
• yhr91 / GEARS_misc
  ☆15Updated 3 months ago
• ruiyi-zhang / scPretrain
  scPretrain: Multi-task self-supervised learning for cell type classification
  ☆22Updated 3 years ago
• xiaoyeye / CNNC
  covolutional neural network based coexpression analysis
  ☆75Updated 4 years ago
• Hua0113 / DCAP
  DCAP:Integrating multi-omics data with deep learning for predicting cancer prognosis
  ☆21Updated 3 years ago
• zhanglab-wbgcas / STGRNS
  ☆29Updated last year
• cmzuo11 / scMVAE
  Deep joint-leaning single-cell multi-omics model
  ☆16Updated 2 years ago
• ZixiangLuo1161 / scGAE
  single-cell graph autoencoder
  ☆21Updated 3 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
• OSU-BMBL / deepmaps
  Single-cell biological network inference using a heterogeneous graph transformer
  ☆69Updated last year
• yulun-rayn / graphVCI
  This repository implements Graph Variational Causal Inference (graphVCI), a framework that integrates prior knowledge of relational infor…
  ☆15Updated last year
• snap-stanford / mars
  Discovering novel cell types across heterogenous single-cell experiments
  ☆121Updated 2 years ago
• ZJUFanLab / scDeepSort
  Cell-type Annotation for Single-cell Transcriptomics using Deep Learning with a Weighted Graph Neural Network
  ☆101Updated last year