Alternatives and similar repositories for CancerTypePrediction

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

• rezacsedu / OncoNetExplainer
  OncoNetExplainer: Explainable Prediction of Cancer Types Based on Gene Expression Data
  ☆11Updated 2 years ago
• fsct135 / DCAP
  DCAP:Integrating multi-omics data with deep learning for predicting cancer prognosis
  ☆21Updated 4 years ago
• tlatkowski / deep-learning-gene-expression
  Deep learning methods for feature selection in gene expression autism data.
  ☆37Updated 3 years ago
• zeochoy / tcga-embedding
  using shallow neural network layer (embedding) to infer gene-gene/sample relationship from gene expression data
  ☆21Updated 7 years ago
• zhangxiaoyu11 / OmiEmbed
  Multi-task deep learning framework for multi-omics data analysis
  ☆48Updated 3 years ago
• rezacsedu / Neural-Ensemble-Method-for-Cancer-Prediction
  A Snapshot Neural Ensemble Method for Cancer Type Prediction Based on Copy Number Variations
  ☆20Updated 3 years ago
• DataX-JieHao / Cox-PASNet
  Pathway-based sparse deep neural network for survival analysis
  ☆41Updated 2 years ago
• ChihyunPark / DNN_for_ADprediction
  ☆20Updated 4 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…
  ☆18Updated 5 years ago
• huangzhii / SALMON
  SALMON: Survival Analysis Learning with Multi-Omics Neural Networks
  ☆67Updated last year
• marakeby / pnet_prostate_paper
  P-NET, Biologically informed deep neural network for prostate cancer classification and discovery
  ☆163Updated 4 years ago
• BoyuLyu / DL-based-Tumor-Classification
  Deep Learning Based Tumor Type Classification Using Gene Expression Data
  ☆26Updated last year
• rezacsedu / Deep-Learning-for-Clustering-in-Bioinformatics
  Deep Learning-based Clustering Approaches for Bioinformatics
  ☆141Updated 4 years ago
• TencentAILabHealthcare / MLA-GNN
  ☆44Updated 11 months ago
• lanagarmire / DeepProg
  Deep-Learning framework for multi-omic and survival data integration
  ☆86Updated last year
• 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
• juexinwang / scGNN
  scGNN (single cell graph neural networks) for single cell clustering and imputation using graph neural networks
  ☆153Updated last year
• jianglindong93 / AUTOSurv
  ☆18Updated last year
• SCUT-CCNL / HiGCN
  HiGCN: a hierarchical graph convolution network for representation learning of gene expression data
  ☆13Updated 4 years ago
• keiserlab / plaquebox-paper
  Repo for Tang et al, bioRxiv 454793 (2018)
  ☆43Updated 6 years ago
• UofLBioinformatics / circDeep
  End-to-End learning framework for circular RNA classification from other long non-coding RNA using multimodal deep learning
  ☆25Updated 5 years ago
• TeoSakel / deep-drug-response
  ☆19Updated 5 years ago
• ruiyi-zhang / scPretrain
  scPretrain: Multi-task self-supervised learning for cell type classification
  ☆23Updated 3 years ago
• haiyang1986 / Subtype-GAN
  a deep learning approach for integrative cancer subtyping of multi-omics data
  ☆39Updated last year
• mskspi / PathCNN
  Interpretable convolutional neural networks on multi-omics data predict long-term survival in glioblastoma
  ☆15Updated 2 years ago
• MMostavi / CNNCancerType
  This is the repository for paper titled as "Convolutional neural network models for cancer type prediction based on gene expression".
  ☆12Updated 5 years ago
• HakimBenkirane / CustOmics
  A deep-learning framework for multi-omics integration
  ☆31Updated 2 years ago
• CSB5 / CaDRReS
  Cancer Drug Response prediction using a Recommender System
  ☆42Updated 2 years ago
• txWang / MOGONET
  MOGONET (Multi-Omics Graph cOnvolutional NETworks) is a novel multi-omics data integrative analysis framework for classification tasks in…
  ☆172Updated 4 years ago
• kimmo1019 / DeepCDR
  Cancer Drug Response Prediction via a Hybrid Graph Convolutional Network
  ☆95Updated 2 years ago