Alternatives and similar repositories for scMM

Users that are interested in scMM 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
• OSU-BMBL / deepmaps
  Single-cell biological network inference using a heterogeneous graph transformer
  ☆76Updated 10 months ago
• theislab / cpa
  The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…
  ☆124Updated 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
  ☆58Updated 5 months ago
• theislab / scib-reproducibility
  Additional code and analysis from the single-cell integration benchmarking project
  ☆71Updated 3 years ago
• HantaoShu / DeepSEM
  ☆87Updated 2 years ago
• alexw16 / gridnet
  ☆15Updated 5 months ago
• YangLabHKUST / SpatialScope
  A unified approach for integrating spatial and single-cell transcriptomics data by leveraging deep generative models
  ☆74Updated last year
• zcang / SpaOTsc
  ☆45Updated 5 months ago
• cmzuo11 / scMVAE
  Deep joint-leaning single-cell multi-omics model
  ☆15Updated 3 years ago
• drieslab / spatial-datasets
  overview of spatial datasets
  ☆76Updated last year
• wukevin / babel
  Deep learning model for single-cell inference of multi-omic profiles from a single input modality.
  ☆46Updated 2 years ago
• zhanglab-wbgcas / STGRNS
  ☆30Updated 2 years ago
• ttgump / scDeepCluster_pytorch
  Pytorch implementation of scDeepCluster for Single Cell RNA-seq data
  ☆33Updated last year
• xiaoyeye / CCST
  Cell clustering for spatial transcriptomics data with graph neural network
  ☆64Updated 2 years ago
• theislab / sc-pert
  Models and datasets for perturbational single-cell omics
  ☆170Updated 3 years ago
• theislab / CellFlow
  Modeling complex perturbations with CellFlow
  ☆104Updated last week
• juexinwang / scGNN
  scGNN (single cell graph neural networks) for single cell clustering and imputation using graph neural networks
  ☆153Updated last year
• nitzanlab / biolord
  ☆89Updated last year
• siyuh / Squidiff
  ☆94Updated last month
• const-ae / linear_perturbation_prediction-Paper
  ☆66Updated 5 months ago
• gao-lab / SLAT
  Spatial-Linked Alignment Tool
  ☆90Updated last year
• caokai1073 / uniPort
  a unified single-cell data integration framework by optimal transport
  ☆34Updated last year
• theislab / scgen-reproducibility
  ☆33Updated 5 years ago
• calico / scnym
  Semi-supervised adversarial neural networks for classification of single cell transcriptomics data
  ☆76Updated 11 months ago
• Spencerfar / LatentVelo
  ☆26Updated 2 years ago
• Lotfollahi-lab / nichecompass
  End-to-end analysis of spatial multi-omics data
  ☆101Updated last month
• ttgump / scDCC
  scDCC: Single Cell Deep Constrained Clustering
  ☆43Updated last year
• yulun-rayn / graphVCI
  Predicting Cellular Responses with Variational Causal Inference and Refined Relational Information (ICLR 2023)
  ☆19Updated 6 months ago
• ma-compbio / SpiceMix
  spatial transcriptome, single cell
  ☆73Updated 2 years ago