OmicsML / awesome-foundation-model-single-cell-papersLinks
☆383Updated this week
Alternatives and similar repositories for awesome-foundation-model-single-cell-papers
Users that are interested in awesome-foundation-model-single-cell-papers are comparing it to the libraries listed below
Sorting:
- ☆338Updated 7 months ago
- GEARS is a geometric deep learning model that predicts outcomes of novel multi-gene perturbations☆325Updated 11 months ago
- UCE is a zero-shot foundation model for single-cell gene expression data☆236Updated 10 months ago
- ☆384Updated last month
- ☆832Updated 8 months ago
- Arc Virtual Cell Atlas☆481Updated last month
- Single-Cell (Perturbation) Model Library☆88Updated last week
- ☆343Updated 2 years ago
- Repository for Nicheformer: a foundation model for single-cell and spatial omics☆144Updated last month
- Graph-linked unified embedding for single-cell multi-omics data integration☆449Updated 2 months ago
- Code for "LangCell: Language-Cell Pre-training for Cell Identity Understanding".☆65Updated last year
- Awesome-AI-Virtual-Cell☆157Updated last week
- ☆90Updated 5 months ago
- Official repo for CellPLM: Pre-training of Cell Language Model Beyond Single Cells.☆101Updated last year
- scPerturb: A resource and a python/R tool for single-cell perturbation data☆161Updated 10 months ago
- ☆302Updated last year
- Models and datasets for perturbational single-cell omics☆172Updated 3 years ago
- State is a machine learning model that predicts cellular perturbation response across diverse contexts☆495Updated 2 weeks ago
- A unifying representation of single cell expression profiles that quantifies similarity between expression states and generalizes to repr…☆232Updated 2 weeks ago
- DANCE: a deep learning library and benchmark platform for single-cell analysis☆384Updated last month
- Single-cell perturbation analysis☆267Updated last week
- Transformer for One-Stop Interpretable Cell-type Annotation☆146Updated last year
- Spatial alignment of single cell transcriptomic data.☆347Updated 6 months ago
- Comprehensive suite for evaluating perturbation prediction models☆117Updated this week
- Single-cell perturbation effects prediction benchmark☆47Updated last week
- A model developed for the generation of scRNA-seq data☆82Updated 10 months ago
- GeneCompass☆106Updated last month
- Benchmarking analysis of data integration tools☆400Updated 4 months ago
- This is the alpha version of the CellOracle package☆408Updated last year
- The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…☆127Updated last year