theislab / trVAE

Related projects ⓘ

Alternatives and complementary repositories for trVAE

• calico / scnym
  Semi-supervised adversarial neural networks for classification of single cell transcriptomics data
  ☆74Updated 10 months ago
• thomasmaxwellnorman / Perturbseq_GI
  Code for reproducing "Exploring genetic interaction manifolds constructed from rich single-cell phenotypes"
  ☆49Updated 4 years ago
• hui2000ji / scETM
  A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.
  ☆48Updated 2 years ago
• davidbuterez / CellVGAE
  An unsupervised scRNA-seq analysis workflow with graph attention networks
  ☆24Updated last year
• openproblems-bio / neurips2021-notebooks
  ☆29Updated 2 years ago
• zcang / SpaOTsc
  ☆44Updated last year
• romain-lopez / scVI-reproducibility
  Reproducing the experiments of the paper "Deep generative modeling for single-cell transcriptomics"
  ☆56Updated 5 years ago
• trungnt13 / sisua
  SemI-SUpervised generative Autoencoder models for single cell data
  ☆18Updated 3 years ago
• txWang / BERMUDA
  BERMUDA (Batch Effect ReMoval Using Deep Autoencoders) is a novel transfer-learning-based method for batch correction in scRNA-seq data.
  ☆27Updated 4 years ago
• xuyungang / scIGANs
  Generative adversarial networks for single-cell RNA-seq imputation
  ☆36Updated 4 years ago
• kimmo1019 / scDEC
  Simultaneous deep generative modeling and clustering of single cell genomic data
  ☆30Updated last year
• ma-compbio / SpiceMix
  spatial transcriptome, single cell
  ☆64Updated last year
• cantinilab / momix-notebook
  ☆61Updated 11 months ago
• klarman-cell-observatory / scPhere
  ☆97Updated last year
• willtownes / nsf-paper
  Nonnegative spatial factorization for multivariate count data
  ☆56Updated last year
• aertslab / arboreto
  A scalable python-based framework for gene regulatory network inference using tree-based ensemble regressors.
  ☆52Updated 7 months ago
• KrishnaswamyLab / AAnet
  Archetypal Analysis network (AAnet)
  ☆31Updated last week
• wukevin / babel
  Deep learning model for single-cell inference of multi-omic profiles from a single input modality.
  ☆38Updated last year
• xiaoyeye / GCNG
  using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions
  ☆55Updated 3 years ago
• scvae / scvae
  Deep learning for single-cell transcript counts
  ☆81Updated 4 years ago
• xiaoyeye / CNNC
  covolutional neural network based coexpression analysis
  ☆74Updated 4 years ago
• doraadong / UNIFAN
  Unsupervised cell functional annotation for single-cell RNA-Seq
  ☆22Updated last year
• suinleelab / contrastiveVI
  ☆48Updated 7 months ago
• KrishnaswamyLab / MELD
  Quantifying experimental perturbations at single cell resolution
  ☆105Updated last month
• LungCellAtlas / HLCA_reproducibility
  This repository contains all code used for the Human Lung Cell Atlas project.
  ☆44Updated last year
• imsb-uke / scGAN
  Realistic in silico generation and augmentation of single cell RNA-seq data using Generative Adversarial Neural Networks
  ☆77Updated 5 months ago
• bm2-lab / scMVP
  ☆28Updated last month
• AltschulerWu-Lab / scScope
  ☆48Updated 5 years ago
• BIMSBbioinfo / bavaria
  Batch-adversarial variational auto-encoder (BAVARIA) for simultaneous dimensionality reduction and integration of single-cell ATAC-seq da…
  ☆12Updated last year
• dylkot / scsim
  Simulate single-cell RNA-SEQ data using the Splatter statistical framework but implemented in python. In addition, simulate doublet cells…
  ☆25Updated 3 years ago