Alternatives and similar repositories for bavaria

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

• scverse / scvi-tools-skeleton
  Template repository for creating novel models with scvi-tools
  ☆20Updated 2 years ago
• theislab / scgen-reproducibility
  ☆28Updated 4 years ago
• calico / scnym
  Semi-supervised adversarial neural networks for classification of single cell transcriptomics data
  ☆76Updated 8 months ago
• hui2000ji / scETM
  A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.
  ☆52Updated 3 years ago
• theislab / trVAE
  Conditional out-of-distribution prediction
  ☆63Updated last year
• theislab / cpa
  The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…
  ☆109Updated last year
• zcang / SpaOTsc
  ☆45Updated last month
• nitzanlab / biolord
  ☆81Updated last year
• xiaoyeye / GCNG
  using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions
  ☆56Updated 4 years ago
• theislab / sc-pert
  Models and datasets for perturbational single-cell omics
  ☆162Updated 3 years ago
• ma-compbio / SpiceMix
  spatial transcriptome, single cell
  ☆69Updated 2 years ago
• wukevin / babel
  Deep learning model for single-cell inference of multi-omic profiles from a single input modality.
  ☆43Updated 2 years ago
• welch-lab / PerturbNet
  PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation
  ☆44Updated last month
• theislab / prophet
  ☆36Updated last week
• HantaoShu / DeepSEM
  ☆85Updated 2 years ago
• snap-stanford / mars
  Discovering novel cell types across heterogenous single-cell experiments
  ☆123Updated 2 years ago
• altoslabs / perturbench
  ☆37Updated 3 months ago
• Bertinus / FLeCS
  Functional and Learnable Cell dynamicS
  ☆17Updated 3 months ago
• kodaim1115 / scMM
  ☆17Updated 4 years ago
• KrishnaswamyLab / MELD
  Quantifying experimental perturbations at single cell resolution
  ☆109Updated 11 months ago
• imsb-uke / scGAN
  Realistic in silico generation and augmentation of single cell RNA-seq data using Generative Adversarial Neural Networks
  ☆84Updated last year
• lanagarmire / deepimpute
  An accurate and efficient deep learning method for single-cell RNA-seq data imputation
  ☆89Updated 3 years ago
• Su-informatics-lab / DSTG
  Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence
  ☆39Updated 3 years ago
• klarman-cell-observatory / scPhere
  ☆102Updated 2 years ago
• theislab / scTab
  ☆59Updated 11 months ago
• pinellolab / simba
  SIMBA: SIngle-cell eMBedding Along with features
  ☆63Updated 10 months ago
• YosefLab / scib-metrics
  Accelerated, Python-only, single-cell integration benchmarking metrics
  ☆69Updated last week
• carpenter-singh-lab / 2022_Haghighi_NatureMethods
  High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations
  ☆50Updated 3 weeks ago
• theislab / ncem
  Learning cell communication from spatial graphs of cells
  ☆112Updated last year
• scverse / scvi-tutorials
  Notebooks used in scvi-tools tutorials
  ☆55Updated last week