Alternatives and similar repositories for IntegrativeVAEs

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

• ahmedmalaa / AutoPrognosis
  Codebase for "AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization", ICML 2018.
  ☆56Updated 4 years ago
• DataX-JieHao / Cox-PASNet
  Pathway-based sparse deep neural network for survival analysis
  ☆41Updated 2 years ago
• i6092467 / vadesc
  A probabilistic model to cluster survival data in a variational deep clustering setting
  ☆30Updated 3 years ago
• rvinas / GTEx-imputation
  Gene Expression Imputation with Generative Adversarial Imputation Nets
  ☆12Updated 2 years ago
• 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…
  ☆100Updated 3 years ago
• chiragnagpal / deep_cox_mixtures
  Code for the paper "Deep Cox Mixtures for Survival Regression", Machine Learning for Healthcare Conference 2021
  ☆29Updated 3 years ago
• jcreinhold / counterfactualms
  counterfactuals for magnetic resonance images of multiple sclerosis
  ☆26Updated 4 years ago
• zhangxiaoyu11 / OmiEmbed
  Multi-task deep learning framework for multi-omics data analysis
  ☆48Updated 3 years ago
• huangzhii / SALMON
  SALMON: Survival Analysis Learning with Multi-Omics Neural Networks
  ☆67Updated last year
• Henrik86 / Topological-tumour-graphs
  ☆11Updated 5 years ago
• HaohanWang / CF
  Removing Confounding Factors Associated Weights in Deep Neural Networks Improves the Prediction Accuracy for Healthcare Applications
  ☆14Updated 5 years ago
• sebp / survival-cnn-estimator
  Tutorial on survival analysis using TensorFlow.
  ☆47Updated 5 years ago
• gevaertlab / metalearning_survival
  ☆16Updated 4 years ago
• landiisotta / convae_architecture
  ☆41Updated 3 years ago
• keiserlab / plaquebox-paper
  Repo for Tang et al, bioRxiv 454793 (2018)
  ☆42Updated 6 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
• ZigaSajovic / Consensus_Clustering
  An implementation of Consensus clustering in Python
  ☆62Updated last year
• MGensheimer / nnet-survival
  Discrete-Time Survival Model for Neural Networks
  ☆93Updated last year
• autonlab / DeepSurvivalMachines
  ☆29Updated 3 years ago
• animgoeth / ARA-CNN
  ☆27Updated 3 years ago
• PathologyDataScience / SurvivalNet
  Deep learning survival models
  ☆118Updated 2 years ago
• ioanabica / DiffVAE
  Code for Nature Scientific Reports 2020 paper: "Unsupervised generative and graph neural methods for modelling cell differentiation" by I…
  ☆18Updated 5 years ago
• flatironinstitute / st_gridnet
  A Python implementation of the model described in our publication "A convolutional neural network for common-coordinate registration of h…
  ☆25Updated 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 4 years ago
• greenelab / tybalt
  Training and evaluating a variational autoencoder for pan-cancer gene expression data
  ☆172Updated 6 years ago
• zhangxiaoyu11 / OmiTrans
  The first GANs-based omics-to-omics translation framework
  ☆13Updated 2 years ago
• vanderschaarlab / clairvoyance
  Clairvoyance: a Unified, End-to-End AutoML Pipeline for Medical Time Series
  ☆132Updated 3 years ago
• uhlerlab / causaldag
  Python package for the creation, manipulation, and learning of Causal DAGs
  ☆155Updated 2 years ago
• PathologyDataScience / SCNN
  Survival Convolutional Neural Networks
  ☆68Updated 2 years ago
• BoyuLyu / DL-based-Tumor-Classification
  Deep Learning Based Tumor Type Classification Using Gene Expression Data
  ☆26Updated last year