cantinilab / scPRINTLinks
π The go-to single-cell Foundation Model
β135Updated last month
Alternatives and similar repositories for scPRINT
Users that are interested in scPRINT are comparing it to the libraries listed below
Sorting:
- A simulator for single cell multi-omics and spatial omics data that provides ground truth to benchmark a wide range of methods.β69Updated 3 months ago
- β90Updated last year
- β100Updated 2 months ago
- scPerturb: A resource and a python/R tool for single-cell perturbation dataβ164Updated 11 months ago
- β155Updated last year
- End-to-end analysis of spatial multi-omics dataβ102Updated last week
- Models and datasets for perturbational single-cell omicsβ172Updated 3 years ago
- SIMBA: SIngle-cell eMBedding Along with featuresβ66Updated last year
- Unsupervised Deep Disentangled Representation of Single-Cell Omicsβ59Updated last week
- Repository for paper scMulan: a multitask generative pre-trained language model for single-cell analysis.β61Updated last year
- Repository for Nicheformer: a foundation model for single-cell and spatial omicsβ149Updated 2 months ago
- β38Updated last month
- Decima is a Python library to train sequence models on single-cell RNA-seq data.β62Updated last week
- Accelerated, Python-only, single-cell integration benchmarking metricsβ85Updated last week
- spatial transcriptome, single cellβ73Updated 2 years ago
- CZ CELLxGENE Discover Censusβ115Updated 3 weeks ago
- Single-cell perturbation analysisβ281Updated this week
- scDesign3 generates realistic in silico data for multimodal single-cell and spatial omicsβ113Updated 4 months ago
- Comprehensive suite for evaluating perturbation prediction modelsβ120Updated 2 weeks ago
- A unified approach for integrating spatial and single-cell transcriptomics data by leveraging deep generative modelsβ77Updated last year
- β62Updated last year
- Code for evaluating single cell foundation models scBERT and scGPTβ46Updated last year
- Deep learning model for single-cell inference of multi-omic profiles from a single input modality.β46Updated 2 years ago
- CellWhisperer bridges the gap between transcriptomics data and natural language, enabling intuitive interaction with scRNA-seq datasetsβ185Updated last month
- β69Updated 6 months ago
- β95Updated 5 months ago
- Learning cell communication from spatial graphs of cellsβ114Updated 2 years ago
- β114Updated this week
- Graph-based foundation model for spatial transcriptomics data. Zero-shot spatial domain inference, batch-effect correction, and many otheβ¦β116Updated 3 weeks ago
- DIALOGUE is a dimensionality reduction method that uses cross-cell-type associations to identify multicellular programs (MCPs) and map thβ¦β117Updated 2 years ago