Alternatives and similar repositories for bavaria

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

• hui2000ji / scETM
  A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.
  ☆53Updated 3 years ago
• calico / scnym
  Semi-supervised adversarial neural networks for classification of single cell transcriptomics data
  ☆77Updated last year
• theislab / sc-pert
  Models and datasets for perturbational single-cell omics
  ☆171Updated 3 years ago
• theislab / cpa
  The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…
  ☆125Updated last year
• xiaoyeye / GCNG
  using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions
  ☆56Updated 4 years ago
• theislab / trVAE
  Conditional out-of-distribution prediction
  ☆61Updated last year
• welch-lab / PerturbNet
  PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation
  ☆59Updated 6 months ago
• nitzanlab / biolord
  ☆89Updated last year
• zcang / SpaOTsc
  ☆46Updated 5 months ago
• theislab / scgen-reproducibility
  ☆33Updated 5 years ago
• scverse / scvi-tools-skeleton
  Template repository for creating novel models with scvi-tools
  ☆20Updated 2 years ago
• snap-stanford / mars
  Discovering novel cell types across heterogenous single-cell experiments
  ☆123Updated 3 years ago
• ma-compbio / SpiceMix
  spatial transcriptome, single cell
  ☆73Updated 2 years ago
• Bertinus / FLeCS
  Functional and Learnable Cell dynamicS
  ☆20Updated 7 months ago
• wukevin / babel
  Deep learning model for single-cell inference of multi-omic profiles from a single input modality.
  ☆46Updated 2 years ago
• sanderlab / CellBox
  CellBox: Interpretable Machine Learning for Perturbation Biology
  ☆56Updated 2 years ago
• HantaoShu / DeepSEM
  ☆88Updated 2 years ago
• theislab / prophet
  ☆38Updated 3 weeks ago
• const-ae / linear_perturbation_prediction-Paper
  ☆68Updated 5 months ago
• KrishnaswamyLab / MELD
  Quantifying experimental perturbations at single cell resolution
  ☆112Updated last year
• kodaim1115 / scMM
  ☆18Updated 4 years ago
• scverse / simple-scvi
  Simple scVI implementation
  ☆12Updated last month
• klarman-cell-observatory / scPhere
  ☆101Updated 2 years ago
• theislab / multicpa
  ☆15Updated 3 years ago
• aaronwtr / PertEval
  Evaluation suite for transcriptomic perturbation effect prediction models. Includes support for single-cell foundation models.
  ☆33Updated 5 months ago
• davidbuterez / CellVGAE
  An unsupervised scRNA-seq analysis workflow with graph attention networks
  ☆25Updated 2 years ago
• scverse / scvi-tutorials
  Notebooks used in scvi-tools tutorials
  ☆58Updated 3 weeks ago
• xiaoyeye / CNNC
  covolutional neural network based coexpression analysis
  ☆79Updated 5 years ago
• bowang-lab / BIONIC
  Biological Network Integration using Convolutions
  ☆63Updated last year
• carpenter-singh-lab / 2022_Haghighi_NatureMethods
  High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations
  ☆52Updated 5 months ago