Alternatives and similar repositories for scCLIP

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

• OmicsML / CellPLM
  Official repo for CellPLM: Pre-training of Cell Language Model Beyond Single Cells.
  ☆88Updated last year
• QSong-github / SiGra
  Single-cell spatial elucidation through image-augmented graph transformer
  ☆32Updated 2 years ago
• microsoft / zero-shot-scfoundation
  ☆72Updated 10 months ago
• HelloWorldLTY / scEval
  Codes for paper: Evaluating the Utilities of Large Language Models in Single-cell Data Analysis.
  ☆71Updated last month
• TencentAILabHealthcare / scPROTEIN
  ☆52Updated 7 months ago
• Genentech / PerturbQA
  ☆13Updated 4 months ago
• theislab / nicheformer
  Repository for Nicheformer: a foundation model for single-cell and spatial omics
  ☆94Updated 3 months ago
• HelloWorldLTY / MuSe-GNN
  [NeurIPS 2023] Official codes of "MuSe-GNN: Learning Unified Gene Representation From Multimodal Biological Graph Data"
  ☆30Updated last week
• clinicalml / sc-foundation-eval
  Code for evaluating single cell foundation models scBERT and scGPT
  ☆44Updated 10 months ago
• deeplearningplus / tGPT
  Generative Pretraining from Transcriptomes
  ☆15Updated 2 years ago
• OmicsML / scMoFormer
  Single-Cell Multimodal Prediction via Transformer
  ☆28Updated last year
• OSU-BMBL / deepmaps
  Single-cell biological network inference using a heterogeneous graph transformer
  ☆73Updated 4 months ago
• caokai1073 / uniPort
  a unified single-cell data integration framework by optimal transport
  ☆35Updated 9 months ago
• yhr91 / GEARS_misc
  ☆19Updated 9 months ago
• EperLuo / scDiffusion
  A model developed for the generation of scRNA-seq data
  ☆67Updated 4 months ago
• theislab / cpa
  The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…
  ☆102Updated 11 months ago
• juexinwang / scGNN
  scGNN (single cell graph neural networks) for single cell clustering and imputation using graph neural networks
  ☆146Updated 11 months ago
• LiuLab-Bioelectronics-Harvard / UnitedNet
  ☆46Updated last year
• JinmiaoChenLab / SpatialGlue
  SpatialGlue is a novel deep learning methods for spatial multi-omics data integration.
  ☆64Updated last year
• snap-stanford / UCE
  UCE is a zero-shot foundation model for single-cell gene expression data
  ☆207Updated 4 months ago
• hui2000ji / scETM
  A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.
  ☆50Updated 3 years ago
• aaronwtr / PertEval
  Evaluation suite for transcriptomic perturbation effect prediction models. Includes support for single-cell foundation models.
  ☆26Updated 3 weeks ago
• JackieHanLab / TOSICA
  Transformer for One-Stop Interpretable Cell-type Annotation
  ☆142Updated last year
• PharMolix / LangCell
  Code for "LangCell: Language-Cell Pre-training for Cell Identity Understanding".
  ☆60Updated 6 months ago
• QuKunLab / MultiomeBenchmarking
  ☆49Updated 4 months ago
• yiqunchen / GenePT
  ☆270Updated last year
• OmicsML / scDiff
  scDiff: A General Single-Cell Analysis Framework via Conditional Diffusion Generative Models
  ☆28Updated 11 months ago
• HantaoShu / DeepSEM
  ☆82Updated 2 years ago
• SuperBianC / scMulan
  Repository for paper scMulan: a multitask generative pre-trained language model for single-cell analysis.
  ☆58Updated last year
• xiaoyeye / CCST
  Cell clustering for spatial transcriptomics data with graph neural network
  ☆63Updated 2 years ago