Alternatives and similar repositories for VITAE

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

• gifford-lab / prescient
  Codebase for PRESCIENT (Potential eneRgy undErlying Single Cell gradIENTs) for generative modeling of single-cell time-series.
  ☆50Updated 10 months ago
• aristoteleo / Scribe-py
  Regulatory networks with Direct Information in python
  ☆40Updated 2 years ago
• calico / velodyn
  Dynamical systems methods for RNA velocity analysis
  ☆24Updated 4 years ago
• azizilab / decipher
  A single-cell analysis toolkit to jointly analyze samples from distinct conditions
  ☆34Updated 8 months ago
• AllonKleinLab / cospar
  ☆26Updated last year
• jzhoulab / quasildr
  Quasilinear data representations for single-cell omics data analysis
  ☆44Updated 2 years ago
• rs239 / velorama
  Gene regulatory network inference for RNA velocity and pseudotime data
  ☆27Updated last month
• willtownes / nsf-paper
  Nonnegative spatial factorization for multivariate count data
  ☆62Updated 2 years ago
• ma-compbio / SpiceMix
  spatial transcriptome, single cell
  ☆72Updated 2 years ago
• doraadong / TraSig
  Inferring cell-cell interactions from pseudotime ordering of scRNA-Seq data
  ☆25Updated 2 years ago
• MarioniLab / sagenet
  Spatial reconstruction of dissociated single-cell data
  ☆19Updated last year
• immunogenomics / cna
  Covarying neighborhood analysis (CNA) is a method for finding structure in- and conducting association analysis with multi-sample single-…
  ☆56Updated 6 months ago
• cistrome / MIRA
  Python package for analysis of multiomic single cell RNA-seq and ATAC-seq.
  ☆66Updated 5 months ago
• PeterZZQ / CellPath
  ☆20Updated 3 years ago
• jmschrei / dragonnfruit
  A method for analyzing scATAC-seq experiments.
  ☆34Updated 5 months ago
• YosefLab / velovi
  ☆40Updated this week
• theislab / mubind
  Learning motif contributions to cell transitions using sequence features and graphs.
  ☆28Updated last year
• sqjin / scEpath
  An energy landscape-based approach for measuring developmental states and inferring cellular trajectories from single cell RNA-seq data
  ☆18Updated 4 years ago
• shmohammadi86 / ACTIONet
  ACTIONet single-cell analysis framework
  ☆44Updated last year
• bowang-lab / DeepVelo
  ☆46Updated last year
• jingshuw / SAVERX
  R package for transfer learning of single-cell RNA-seq denoising
  ☆30Updated 3 years ago
• sfortma2 / scranPY
  A python implementation of scran computeSumFactors: normalization by deconvolution for single-cell RNA-sequencing
  ☆35Updated 2 years ago
• thomasmaxwellnorman / Perturbseq_GI
  Code for reproducing "Exploring genetic interaction manifolds constructed from rich single-cell phenotypes"
  ☆65Updated 5 years ago
• calico / scnym
  Semi-supervised adversarial neural networks for classification of single cell transcriptomics data
  ☆76Updated 11 months ago
• huidongchen / simba
  SIMBA: SIngle-cell eMBedding Along with features
  ☆20Updated last year
• theislab / moslin
  Code, data and analysis for moslin.
  ☆15Updated 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 4 years ago
• const-ae / pyLemur
  A Python implementation of the LEMUR algorithm for analyzing multi-condition single-cell RNA-seq data.
  ☆27Updated 11 months ago
• CostaLab / scMEGA
  scMEGA: Single-cell Multiomic Enhancer-based Gene regulAtory network inference
  ☆42Updated last year
• mvinyard / ArchR-h5ad
  Parse ArchR arrow files to anndata h5ad
  ☆15Updated last year