DeepGraphLearning / scCello
[NeurIPS 2024 Spotlight] A cell-ontology guided transcriptome foundation model
☆12Updated 2 weeks ago
Alternatives and similar repositories for scCello:
Users that are interested in scCello are comparing it to the libraries listed below
- Evaluation suite for transcriptomic perturbation effect prediction models. Includes support for single-cell foundation models.☆22Updated last week
- Codes for paper: Evaluating the Utilities of Large Language Models in Single-cell Data Analysis.☆64Updated 2 months ago
- scDiff: A General Single-Cell Analysis Framework via Conditional Diffusion Generative Models☆27Updated 7 months ago
- Single-Cell (Perturbation) Model Library☆45Updated 2 weeks ago
- Repository for Nicheformer: a foundation model for single-cell and spatial omics☆86Updated last week
- single cell foundation model for Gene network inference and more☆15Updated 6 months ago
- ☆29Updated last week
- Official repo for CellPLM: Pre-training of Cell Language Model Beyond Single Cells.☆78Updated last year
- A model developed for the generation of scRNA-seq data☆55Updated last month
- ☆14Updated 8 months ago
- Codes for paper: scELMo: Embeddings from Language Models are Good Learners for Single-cell Data Analysis☆12Updated 3 months ago
- scPerturb: A resource and a python/R tool for single-cell perturbation data☆116Updated last month
- ☆58Updated 7 months ago
- Code for evaluating single cell foundation models scBERT and scGPT☆40Updated 7 months ago
- Create cell sentences from sequencing data☆22Updated 7 months ago
- Models and datasets for perturbational single-cell omics☆152Updated 2 years ago
- single cell foundation model for Gene network inference and more☆57Updated last week
- Paper collection for single cell foundation models☆30Updated last year
- ☆59Updated last year
- ☆57Updated 6 months ago
- scNODE: Generative Model for Temporal Single Cell Transcriptomic Data Prediction☆19Updated 5 months ago
- ☆18Updated 5 months ago
- ☆22Updated 2 months ago
- ☆12Updated 7 months ago
- scPRAM accurately predicts single-cell gene expression perturbation response based on attention mechanism☆13Updated 5 months ago
- ☆11Updated 3 months ago
- Graph-based foundation model for spatial transcriptomics data. Zero-shot spatial domain inference, batch-effect correction, and many othe…☆36Updated this week
- The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…☆97Updated 7 months ago
- Contextual AI models for single-cell protein biology☆83Updated last month
- ☆76Updated 7 months ago