Alternatives and similar repositories for Awesome-Phenotypic-Drug-Discovery:

Users that are interested in Awesome-Phenotypic-Drug-Discovery are comparing it to the libraries listed below

• jsxlei / scCLIP
  ☆27Updated last year
• OmicsML / CellPLM
  Official repo for CellPLM: Pre-training of Cell Language Model Beyond Single Cells.
  ☆78Updated last year
• QSong-github / SiGra
  Single-cell spatial elucidation through image-augmented graph transformer
  ☆31Updated last year
• OmicsML / scDiff
  scDiff: A General Single-Cell Analysis Framework via Conditional Diffusion Generative Models
  ☆27Updated 7 months ago
• OmicsML / awesome-agents-biology-papers
  ☆17Updated 6 months ago
• theislab / nicheformer
  Repository for Nicheformer: a foundation model for single-cell and spatial omics
  ☆86Updated this week
• mims-harvard / PINNACLE
  Contextual AI models for single-cell protein biology
  ☆82Updated last month
• SichenZhu / Stem
  [ICLR 2025] Stem: Gene Expression Inference from Histology Images
  ☆21Updated this week
• caokai1073 / uniPort
  a unified single-cell data integration framework by optimal transport
  ☆35Updated 5 months ago
• myzhengSIMM / TranSiGen
  ☆27Updated 2 months ago
• theislab / IMPA
  ☆12Updated 2 months ago
• jimmylihui / GenBench
  ☆20Updated last month
• liugangcode / InfoAlign
  The code for "Learning Molecular Representation in a Cell"
  ☆24Updated 3 weeks ago
• zhanglab-aim / EMGNN
  Explainable Multilayer Graph Neural Network for Cancer Gene Prediction
  ☆15Updated last year
• JinmiaoChenLab / SpatialGlue
  SpatialGlue is a novel deep learning methods for spatial multi-omics data integration.
  ☆52Updated 9 months ago
• Perturbation-Response-Prediction / PRnet
  PRnet is a flexible and scalable perturbation-conditioned generative model predicting transcriptional responses to unseen complex perturb…
  ☆40Updated 3 months ago
• uhlerlab / InfoCORE
  Code for paper: "Removing Biases from Molecular Representations via Information Maximization"
  ☆20Updated 11 months ago
• HakimBenkirane / CustOmics
  A deep-learning framework for multi-omics integration
  ☆25Updated last year
• carpenter-singh-lab / 2023_Arevalo_NatComm_BatchCorrection
  Evaluating batch correction methods for image-based cell profiling
  ☆12Updated 2 months ago
• ruiyi-zhang / scPretrain
  scPretrain: Multi-task self-supervised learning for cell type classification
  ☆23Updated 3 years ago
• microsoft / zero-shot-scfoundation
  ☆58Updated 7 months ago
• welch-lab / PerturbNet
  PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation
  ☆30Updated last month
• yhchen1123 / CoGO
  CoGO: a contrastive learning framework to predict disease similarity based on gene network and ontology structure
  ☆16Updated 6 months ago
• vandijklab / cell2sentence
  Cell2Sentence: Teaching Large Language Models the Language of Biology
  ☆45Updated 3 months ago
• HelloWorldLTY / MuSe-GNN
  [NeurIPS 2023] Official codes of "MuSe-GNN: Learning Unified Gene Representation From Multimodal Biological Graph Data"
  ☆28Updated 9 months ago
• recursionpharma / maes_microscopy
  Official repo for Recursion's accepted spotlight paper at NeurIPS 2023 Generative AI & Biology workshop.
  ☆59Updated 4 months ago
• pengsl-lab / MSSL
  ☆12Updated 2 years ago
• EperLuo / scDiffusion
  A model developed for the generation of scRNA-seq data
  ☆55Updated last month
• TencentAILabHealthcare / scPROTEIN
  ☆50Updated 3 months ago
• bowang-lab / BLEEP
  Spatially Resolved Gene Expression Prediction from H&E Histology Images via Bi-modal Contrastive Learning
  ☆72Updated 5 months ago