Alternatives and similar repositories for genot

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

• rsinghlab / SCOT
  Gromov-Wasserstein based optimal transport for aligning single-cell multi-omics data
  ☆77Updated last year
• caokai1073 / uniPort
  a unified single-cell data integration framework by optimal transport
  ☆34Updated last year
• bunnech / cellot
  Learning Single-Cell Perturbation Responses using Neural Optimal Transport
  ☆153Updated last year
• QSong-github / SiGra
  Single-cell spatial elucidation through image-augmented graph transformer
  ☆34Updated 2 years ago
• EperLuo / scDiffusion
  A model developed for the generation of scRNA-seq data
  ☆82Updated 10 months ago
• OmicsML / CellPLM
  Official repo for CellPLM: Pre-training of Cell Language Model Beyond Single Cells.
  ☆101Updated last year
• OmicsML / scMoFormer
  Single-Cell Multimodal Prediction via Transformer
  ☆28Updated last year
• AI4SCR / MatchCLOT
  Python package implementing our method MatchCLOT for multimodal single-cell data integration
  ☆13Updated 2 years ago
• uhlerlab / cross-modal-autoencoders
  ☆56Updated 3 years ago
• jsxlei / scCLIP
  ☆33Updated last year
• Genentech / PerturbQA
  ☆38Updated 3 months ago
• yulun-rayn / graphVCI
  Predicting Cellular Responses with Variational Causal Inference and Refined Relational Information (ICLR 2023)
  ☆19Updated 7 months ago
• YangLabHKUST / SpatialScope
  A unified approach for integrating spatial and single-cell transcriptomics data by leveraging deep generative models
  ☆77Updated last year
• theislab / nicheformer
  Repository for Nicheformer: a foundation model for single-cell and spatial omics
  ☆144Updated last month
• juexinwang / scGNN
  scGNN (single cell graph neural networks) for single cell clustering and imputation using graph neural networks
  ☆154Updated last year
• KrishnaswamyLab / MIOFlow
  ☆34Updated 2 months ago
• ys-zong / conST
  conST: an interpretable multi-modal contrastive learning framework for spatial transcriptomics
  ☆29Updated last year
• hui2000ji / scETM
  A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.
  ☆53Updated 4 years ago
• snap-stanford / mars
  Discovering novel cell types across heterogenous single-cell experiments
  ☆123Updated 3 years ago
• bowang-lab / scGPT-spatial
  ☆124Updated 11 months ago
• welch-lab / VeloVAE
  Deep Generative Modeling of RNA Velocity
  ☆36Updated 3 months ago
• kodaim1115 / scMM
  ☆18Updated 4 years ago
• bm2-lab / scMVP
  ☆34Updated 9 months ago
• Weiqin-Zhao / Hist2Cell
  ☆18Updated last month
• ttgump / scDCC
  scDCC: Single Cell Deep Constrained Clustering
  ☆43Updated last year
• SichenZhu / Stem
  [ICLR 2025] Stem: Gene Expression Inference from Histology Images
  ☆44Updated 9 months ago
• bm2-lab / scPerturBench
  Single-cell perturbation effects prediction benchmark
  ☆50Updated 2 weeks ago
• jianhuupenn / ItClust
  Iterative transfer learning with neural network improves clustering and cell type classification in single-cell RNA-seq analysis
  ☆54Updated 7 months ago
• suinleelab / contrastiveVI
  ☆60Updated last year
• cmzuo11 / scMVAE
  Deep joint-leaning single-cell multi-omics model
  ☆15Updated 3 years ago