theislab / single-cell-transformer-papers
☆248Updated 3 weeks ago
Related projects ⓘ
Alternatives and complementary repositories for single-cell-transformer-papers
- ☆153Updated this week
- GEARS is a geometric deep learning model that predicts outcomes of novel multi-gene perturbations☆207Updated 2 months ago
- ☆260Updated 3 months ago
- UCE is a zero-shot foundation model for single-cell gene expression data☆165Updated last month
- ☆278Updated 10 months ago
- ☆35Updated 11 months ago
- Transformer for One-Stop Interpretable Cell-type Annotation☆131Updated 8 months ago
- Spatial alignment of single cell transcriptomic data.☆254Updated 4 months ago
- Graph-linked unified embedding for single-cell multi-omics data integration☆382Updated 8 months ago
- scPerturb: A resource and a python/R tool for single-cell perturbation data☆107Updated 2 months ago
- Benchmarking analysis of data integration tools☆300Updated last month
- Reference mapping for single-cell genomics☆335Updated last week
- Repository for Nicheformer: a foundation model for single-cell and spatial omics☆62Updated 6 months ago
- Formalizing and benchmarking open problems in single-cell genomics☆320Updated this week
- ☆176Updated 7 months ago
- Scanpy Tutorials.☆187Updated this week
- Models and datasets for perturbational single-cell omics☆142Updated 2 years ago
- ☆687Updated last month
- Code for "LangCell: Language-Cell Pre-training for Cell Identity Understanding".☆43Updated this week
- Deep Learning Methods for Parsing T-Cell Receptor Sequencing (TCRSeq) Data☆113Updated last year
- A tool for semi-automatic cell type classification☆292Updated 5 months ago
- This is the alpha version of the CellOracle package☆308Updated 2 months ago
- Inclusive model of expression dynamics with conventional or metabolic labeling based scRNA-seq / multiomics, vector field reconstruction …☆417Updated last week
- gReLU is a python library to train, interpret, and apply deep learning models to DNA sequences.☆224Updated this week
- Benchmarking computational single cell ATAC-seq methods☆177Updated 3 years ago
- Comprehensive mapping of tissue cell architecture via integrated single cell and spatial transcriptomics (cell2location model)☆320Updated last month
- ☆107Updated 4 months ago
- Spatial-eXpression-R: Cell type identification (including cell type mixtures) and cell type-specific differential expression for spatial …☆306Updated 5 months ago
- ☆154Updated 6 months ago
- GeneCompass☆58Updated 3 months ago