Alternatives and similar repositories for CellPLM

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

• theislab / nicheformer
  Repository for Nicheformer: a foundation model for single-cell and spatial omics
  ☆95Updated 4 months ago
• EperLuo / scDiffusion
  A model developed for the generation of scRNA-seq data
  ☆68Updated 5 months ago
• HelloWorldLTY / scEval
  Codes for paper: Evaluating the Utilities of Large Language Models in Single-cell Data Analysis.
  ☆71Updated last month
• microsoft / zero-shot-scfoundation
  ☆72Updated 11 months ago
• jsxlei / scCLIP
  ☆30Updated last year
• PharMolix / LangCell
  Code for "LangCell: Language-Cell Pre-training for Cell Identity Understanding".
  ☆60Updated 7 months ago
• snap-stanford / UCE
  UCE is a zero-shot foundation model for single-cell gene expression data
  ☆213Updated 5 months ago
• clinicalml / sc-foundation-eval
  Code for evaluating single cell foundation models scBERT and scGPT
  ☆45Updated 11 months ago
• xianglin226 / Benchmarking-Single-Cell-Perturbation
  Single-Cell (Perturbation) Model Library
  ☆64Updated last week
• bowang-lab / scGPT-spatial
  ☆106Updated 5 months ago
• OmicsML / scDiff
  scDiff: A General Single-Cell Analysis Framework via Conditional Diffusion Generative Models
  ☆29Updated 11 months ago
• QSong-github / SiGra
  Single-cell spatial elucidation through image-augmented graph transformer
  ☆33Updated 2 years ago
• aaronwtr / PertEval
  Evaluation suite for transcriptomic perturbation effect prediction models. Includes support for single-cell foundation models.
  ☆27Updated last week
• DeepGraphLearning / scCello
  [NeurIPS 2024 Spotlight] A cell-ontology guided transcriptome foundation model
  ☆19Updated 4 months ago
• OmicsML / scMoFormer
  Single-Cell Multimodal Prediction via Transformer
  ☆28Updated last year
• bunnech / cellot
  Learning Single-Cell Perturbation Responses using Neural Optimal Transport
  ☆142Updated 9 months ago
• snap-stanford / GEARS
  GEARS is a geometric deep learning model that predicts outcomes of novel multi-gene perturbations
  ☆279Updated 6 months ago
• wehos / CellT
  An offical repo for paper "Single-cells are Spatial Tokens: Transformers for Spatially Resolved Transcriptomics Data Imputation"
  ☆18Updated last year
• SuperBianC / scMulan
  Repository for paper scMulan: a multitask generative pre-trained language model for single-cell analysis.
  ☆61Updated last year
• yhr91 / GEARS_misc
  ☆20Updated 9 months ago
• OmicsML / awesome-foundation-model-single-cell-papers
  ☆315Updated last month
• theislab / cpa
  The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…
  ☆107Updated 11 months ago
• JackieHanLab / TOSICA
  Transformer for One-Stop Interpretable Cell-type Annotation
  ☆143Updated last year
• jkobject / geneformer
  ☆75Updated 2 months ago
• YangLabHKUST / SpatialScope
  A unified approach for integrating spatial and single-cell transcriptomics data by leveraging deep generative models
  ☆69Updated last year
• theislab / CellFlow
  Modeling complex perturbations with CellFlow
  ☆74Updated last week
• Genentech / PerturbQA
  ☆13Updated 5 months ago
• TencentAILabHealthcare / scPROTEIN
  ☆52Updated 8 months ago
• sanderlab / scPerturb
  scPerturb: A resource and a python/R tool for single-cell perturbation data
  ☆131Updated 5 months ago
• theislab / chemCPA
  Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.
  ☆121Updated 6 months ago