OmicsML / CellPLM
Official repo for CellPLM: Pre-training of Cell Language Model Beyond Single Cells.
☆84Updated last year
Alternatives and similar repositories for CellPLM
Users that are interested in CellPLM are comparing it to the libraries listed below
Sorting:
- Repository for Nicheformer: a foundation model for single-cell and spatial omics☆92Updated last month
- Codes for paper: Evaluating the Utilities of Large Language Models in Single-cell Data Analysis.☆69Updated 4 months ago
- A model developed for the generation of scRNA-seq data☆60Updated 2 months ago
- Single-Cell (Perturbation) Model Library☆59Updated last month
- ☆28Updated last year
- ☆62Updated 8 months ago
- scDiff: A General Single-Cell Analysis Framework via Conditional Diffusion Generative Models☆28Updated 9 months ago
- Repository for paper scMulan: a multitask generative pre-trained language model for single-cell analysis.☆57Updated 11 months ago
- Code for evaluating single cell foundation models scBERT and scGPT☆43Updated 8 months ago
- Single-Cell Multimodal Prediction via Transformer☆27Updated last year
- Evaluation suite for transcriptomic perturbation effect prediction models. Includes support for single-cell foundation models.☆25Updated last month
- Code for "LangCell: Language-Cell Pre-training for Cell Identity Understanding".☆58Updated 4 months ago
- Single-cell spatial elucidation through image-augmented graph transformer☆32Updated last year
- ☆65Updated last year
- ☆20Updated 7 months ago
- Learning Single-Cell Perturbation Responses using Neural Optimal Transport☆132Updated 6 months ago
- a unified single-cell data integration framework by optimal transport☆35Updated 7 months ago
- scPerturb: A resource and a python/R tool for single-cell perturbation data☆125Updated 2 months ago
- The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…☆100Updated 9 months ago
- An offical repo for paper "Single-cells are Spatial Tokens: Transformers for Spatially Resolved Transcriptomics Data Imputation"☆17Updated last year
- ☆92Updated 3 months ago
- Graph-based foundation model for spatial transcriptomics data. Zero-shot spatial domain inference, batch-effect correction, and many othe…☆43Updated 2 weeks ago
- A unified approach for integrating spatial and single-cell transcriptomics data by leveraging deep generative models☆64Updated 11 months ago
- [NeurIPS 2024 Spotlight] A cell-ontology guided transcriptome foundation model☆15Updated 2 months ago
- Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.☆112Updated 3 months ago
- PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation☆32Updated 2 weeks ago
- Agent self-driven repository on bio-agent papers, i.e. papers on LLM-based agents in biology and medicine.☆36Updated this week
- SpatialGlue is a novel deep learning methods for spatial multi-omics data integration.☆59Updated 10 months ago
- GeneCompass☆77Updated 9 months ago
- Transformer for One-Stop Interpretable Cell-type Annotation☆140Updated last year