Alternatives and similar repositories for trVAE

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

• calico / scnym
  Semi-supervised adversarial neural networks for classification of single cell transcriptomics data
  ☆76Updated 8 months ago
• KrishnaswamyLab / MELD
  Quantifying experimental perturbations at single cell resolution
  ☆109Updated 11 months ago
• klarman-cell-observatory / scPhere
  ☆102Updated 2 years ago
• ma-compbio / SpiceMix
  spatial transcriptome, single cell
  ☆69Updated 2 years ago
• KrishnaswamyLab / SAUCIE
  ☆100Updated 11 months ago
• zcang / SpaOTsc
  ☆45Updated last month
• romain-lopez / scVI-reproducibility
  Reproducing the experiments of the paper "Deep generative modeling for single-cell transcriptomics"
  ☆57Updated 6 years ago
• xuyungang / scIGANs
  Generative adversarial networks for single-cell RNA-seq imputation
  ☆39Updated 5 years ago
• nitzanlab / biolord
  ☆82Updated last year
• hui2000ji / scETM
  A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.
  ☆53Updated 3 years ago
• AltschulerWu-Lab / scScope
  ☆48Updated 6 years ago
• willtownes / nsf-paper
  Nonnegative spatial factorization for multivariate count data
  ☆59Updated 2 years ago
• berenslab / umi-normalization
  Companion repository to Lause, Berens & Kobak (2021): "Analytic Pearson residuals for normalization of single-cell RNA-seq UMI data", Gen…
  ☆40Updated 3 years ago
• KrishnaswamyLab / scprep
  A collection of scripts and tools for loading, processing, and handling single cell data.
  ☆74Updated last month
• lanagarmire / deepimpute
  An accurate and efficient deep learning method for single-cell RNA-seq data imputation
  ☆89Updated 3 years ago
• eleozzr / desc
  Deep Embedding for Single-cell Clustering
  ☆88Updated last year
• dylkot / scsim
  Simulate single-cell RNA-SEQ data using the Splatter statistical framework but implemented in python. In addition, simulate doublet cells…
  ☆27Updated 3 years ago
• scvae / scvae
  Deep learning for single-cell transcript counts
  ☆89Updated 6 months ago
• Bertinus / FLeCS
  Functional and Learnable Cell dynamicS
  ☆17Updated 4 months ago
• gifford-lab / prescient
  Codebase for PRESCIENT (Potential eneRgy undErlying Single Cell gradIENTs) for generative modeling of single-cell time-series.
  ☆49Updated 7 months ago
• suinleelab / contrastiveVI
  ☆56Updated last year
• davidbuterez / CellVGAE
  An unsupervised scRNA-seq analysis workflow with graph attention networks
  ☆26Updated 2 years ago
• theislab / ncem
  Learning cell communication from spatial graphs of cells
  ☆112Updated last year
• thomasmaxwellnorman / Perturbseq_GI
  Code for reproducing "Exploring genetic interaction manifolds constructed from rich single-cell phenotypes"
  ☆58Updated 5 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.
  ☆31Updated 5 years ago
• cantinilab / OT-scOmics
  This Python package will allow you to replicate the experiments from our research on applying Optimal Transport as a similarity metric in…
  ☆42Updated 2 years ago
• calico / velodyn
  Dynamical systems methods for RNA velocity analysis
  ☆24Updated 4 years ago
• pinellolab / simba
  SIMBA: SIngle-cell eMBedding Along with features
  ☆63Updated 11 months ago
• doraadong / UNIFAN
  Unsupervised cell functional annotation for single-cell RNA-Seq
  ☆22Updated 2 years ago
• ChengF-Lab / autoCell
  ☆16Updated 3 years ago