HelloWorldLTY / scEval
Codes for paper: Evaluating the Utilities of Large Language Models in Single-cell Data Analysis.
☆67Updated 2 months ago
Alternatives and similar repositories for scEval:
Users that are interested in scEval are comparing it to the libraries listed below
- Single-Cell (Perturbation) Model Library☆49Updated 3 weeks ago
- Repository for Nicheformer: a foundation model for single-cell and spatial omics☆88Updated 2 weeks ago
- scPerturb: A resource and a python/R tool for single-cell perturbation data☆119Updated last month
- Additional code and analysis from the single-cell integration benchmarking project☆59Updated 2 years ago
- Official repo for CellPLM: Pre-training of Cell Language Model Beyond Single Cells.☆80Updated last year
- single cell foundation model for Gene network inference and more☆57Updated 3 weeks ago
- Code for evaluating single cell foundation models scBERT and scGPT☆41Updated 7 months ago
- ☆19Updated 5 months ago
- A model developed for the generation of scRNA-seq data☆58Updated last month
- Models and datasets for perturbational single-cell omics☆153Updated 2 years ago
- Repository for paper scMulan: a multitask generative pre-trained language model for single-cell analysis.☆57Updated 10 months ago
- Transformer for One-Stop Interpretable Cell-type Annotation☆138Updated last year
- ☆59Updated 7 months ago
- ☆76Updated last year
- Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence☆38Updated 2 years ago
- SIMBA: SIngle-cell eMBedding Along with features☆58Updated 5 months ago
- End-to-end analysis of spatial multi-omics data☆65Updated 3 weeks ago
- ☆53Updated last month
- The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…☆98Updated 7 months ago
- Evaluation suite for transcriptomic perturbation effect prediction models. Includes support for single-cell foundation models.☆22Updated 2 weeks ago
- GeneCompass☆74Updated 8 months ago
- ☆57Updated 7 months ago
- ☆43Updated last month
- Code for "LangCell: Language-Cell Pre-training for Cell Identity Understanding".☆55Updated 3 months ago
- Deep learning model for single-cell inference of multi-omic profiles from a single input modality.☆41Updated last year
- Accelerated, Python-only, single-cell integration benchmarking metrics☆56Updated this week
- PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation☆32Updated 2 months ago
- A unified approach for integrating spatial and single-cell transcriptomics data by leveraging deep generative models☆63Updated 10 months ago
- Codes for paper: scELMo: Embeddings from Language Models are Good Learners for Single-cell Data Analysis☆12Updated 3 months ago
- Create cell sentences from sequencing data☆22Updated 8 months ago