ArcInstitute / stackLinks
Stack is a single-cell foundation model that enables in-context learning at inference time.
☆77Updated last week
Alternatives and similar repositories for stack
Users that are interested in stack are comparing it to the libraries listed below
Sorting:
- ☆70Updated 6 months ago
- ☆79Updated last month
- 🏃 The go-to single-cell Foundation Model☆138Updated last month
- ☆25Updated 5 months ago
- ☆100Updated 3 months ago
- PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation☆61Updated 3 weeks ago
- Repository for paper scMulan: a multitask generative pre-trained language model for single-cell analysis.☆61Updated last year
- Repository for Nicheformer: a foundation model for single-cell and spatial omics☆150Updated 2 months ago
- Computational Optimization of DNA Activity (CODA)☆67Updated 10 months ago
- The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…☆134Updated last year
- ☆116Updated last week
- ☆74Updated last week
- ☆38Updated last month
- Evaluation suite for transcriptomic perturbation effect prediction models. Includes support for single-cell foundation models.☆35Updated 6 months ago
- Modeling complex perturbations with CellFlow☆118Updated this week
- ☆95Updated 5 months ago
- ☆90Updated last year
- Deep Learning the T Cell Receptor Binding Specificity of Neoantigen☆89Updated 3 years ago
- Diffusion model for gene regulatory network inference.☆26Updated last week
- code to run EPInformer for gene expression prediction and gene-enhancer link prediction☆44Updated 2 weeks ago
- SIMBA: SIngle-cell eMBedding Along with features☆66Updated last year
- Deep fusion of spatial transcriptomics and histology images for interpretable high-definition embedding mapping☆17Updated this week
- repository containing analysis scripts and auxiliary files☆37Updated 5 years ago
- ☆101Updated 4 months ago
- ☆17Updated 8 months ago
- scPerturb: A resource and a python/R tool for single-cell perturbation data☆165Updated 11 months ago
- A simulator for single cell multi-omics and spatial omics data that provides ground truth to benchmark a wide range of methods.☆69Updated 3 months ago
- ☆56Updated last year
- Pytorch implementation of EpiFoundation☆25Updated 11 months ago
- High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations☆53Updated 5 months ago