Alternatives and similar repositories for gene-graph-conv

Users that are interested in gene-graph-conv are comparing it to the libraries listed below

• greenelab / tybalt
  Training and evaluating a variational autoencoder for pan-cancer gene expression data
  ☆172Updated 6 years ago
• xiaoyeye / CNNC
  covolutional neural network based coexpression analysis
  ☆79Updated 5 years ago
• xiaoyeye / GCNG
  using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions
  ☆56Updated 4 years ago
• CSB5 / CaDRReS
  Cancer Drug Response prediction using a Recommender System
  ☆42Updated 2 years ago
• snap-stanford / mars
  Discovering novel cell types across heterogenous single-cell experiments
  ☆123Updated 3 years ago
• budach / pysster
  pysster: Learning Sequence And Structure Motifs In Biological Sequences Using Convolutional Neural Networks
  ☆86Updated 6 years ago
• scvae / scvae
  Deep learning for single-cell transcript counts
  ☆88Updated 8 months ago
• KrishnaswamyLab / SAUCIE
  ☆101Updated last year
• zeochoy / tcga-embedding
  using shallow neural network layer (embedding) to infer gene-gene/sample relationship from gene expression data
  ☆21Updated 7 years ago
• cmap / cmapPy
  Assorted tools for interacting with .gct, .gctx files and other Connectivity Map (Broad Institute) data/tools
  ☆136Updated 3 years ago
• cantinilab / momix-notebook
  ☆66Updated 2 years ago
• rvinas / adversarial-gene-expression
  Adversarial generation of gene expression data using Generative Adversarial Networks
  ☆28Updated 4 years ago
• QData / DeepChrome
  Bioinformatics16: DeepChrome: Deep-learning for predicting gene expression from histone modifications
  ☆63Updated 4 years ago
• idekerlab / DCell
  DCell browser and gene deletion simulator
  ☆124Updated 2 years ago
• jingcheng-du / Gene2vec
  Gene2Vec: Distributed Representation of Genes Based on Co-Expression
  ☆125Updated 3 years ago
• theislab / trVAE
  Conditional out-of-distribution prediction
  ☆62Updated last year
• luslab / arshamg-scrnaseq-wgan
  Wasserstein Generative Adversarial Network for analysing scRNAseq data
  ☆34Updated 4 years ago
• lanagarmire / deepimpute
  An accurate and efficient deep learning method for single-cell RNA-seq data imputation
  ☆89Updated 3 years ago
• xypan1232 / iDeep
  iDeep: integrated prediction of RNA-protein binding sites using deep learning
  ☆39Updated 5 years ago
• bowang87 / SIMLR_PY
  Python Implementation of SIMLR for single-cell visualization and analysis
  ☆24Updated 3 years ago
• hui2000ji / scETM
  A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.
  ☆53Updated 3 years ago
• BIMSBbioinfo / bavaria
  Batch-adversarial variational auto-encoder (BAVARIA) for simultaneous dimensionality reduction and integration of single-cell ATAC-seq da…
  ☆14Updated 2 years ago
• kipoi / models
  Model zoo for genomics
  ☆172Updated last year
• theislab / dca
  Deep count autoencoder for denoising scRNA-seq data
  ☆265Updated last year
• AltschulerWu-Lab / scScope
  ☆48Updated 6 years ago
• cmap / lincs-workshop-2020
  CMap Notebooks for LINCS 2020 Workshop
  ☆49Updated 4 years ago
• sanderlab / CellBox
  CellBox: Interpretable Machine Learning for Perturbation Biology
  ☆56Updated 2 years ago
• ushaham / BatchEffectRemoval
  ☆57Updated 5 years ago
• uci-cbcl / D-GEX
  Deep learning for gene expression inference
  ☆145Updated 6 years ago
• rampasek / DrVAE
  Drug Response Variational Autoencoder
  ☆34Updated 6 years ago