yhr91 / GEARS_miscLinks
☆20Updated 10 months ago
Alternatives and similar repositories for GEARS_misc
Users that are interested in GEARS_misc are comparing it to the libraries listed below
Sorting:
- Single-Cell (Perturbation) Model Library☆66Updated 3 weeks ago
- Codes for paper: Evaluating the Utilities of Large Language Models in Single-cell Data Analysis.☆72Updated 2 months ago
- Single-cell biological network inference using a heterogeneous graph transformer☆73Updated 6 months ago
- Repository for Nicheformer: a foundation model for single-cell and spatial omics☆95Updated 5 months ago
- ☆85Updated 2 years ago
- Models and datasets for perturbational single-cell omics☆161Updated 3 years ago
- PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation☆44Updated last month
- Transformer for One-Stop Interpretable Cell-type Annotation☆144Updated last year
- Modeling complex perturbations with CellFlow☆82Updated this week
- GEARS is a geometric deep learning model that predicts outcomes of novel multi-gene perturbations☆282Updated 6 months ago
- The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…☆109Updated last year
- scPerturb: A resource and a python/R tool for single-cell perturbation data☆138Updated 6 months ago
- ☆29Updated 2 years ago
- Single-cell perturbation effects prediction benchmark☆17Updated last month
- ☆17Updated 4 years ago
- A model developed for the generation of scRNA-seq data☆68Updated 6 months ago
- Code for evaluating single cell foundation models scBERT and scGPT☆46Updated 11 months ago
- PRnet is a flexible and scalable perturbation-conditioned generative model predicting transcriptional responses to unseen complex perturb…☆55Updated 8 months ago
- Repository for paper scMulan: a multitask generative pre-trained language model for single-cell analysis.☆61Updated last year
- ☆53Updated 8 months ago
- Cell-type Annotation for Single-cell Transcriptomics using Deep Learning with a Weighted Graph Neural Network☆103Updated 2 years ago
- ☆10Updated 3 months ago
- Deep learning model for single-cell inference of multi-omic profiles from a single input modality.☆43Updated 2 years ago
- ☆22Updated 2 months ago
- Cell clustering for spatial transcriptomics data with graph neural network☆63Updated 2 years ago
- ☆81Updated last year
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆52Updated 3 years ago
- ☆28Updated 4 years ago
- CLEAR: Self-supervised contrastive learning for integrative single-cell RNA-seq data analysis☆34Updated 2 years ago
- Evaluation suite for transcriptomic perturbation effect prediction models. Includes support for single-cell foundation models.☆27Updated 3 weeks ago