ruiyi-zhang / scPretrainLinks
scPretrain: Multi-task self-supervised learning for cell type classification
☆23Updated 3 years ago
Alternatives and similar repositories for scPretrain
Users that are interested in scPretrain are comparing it to the libraries listed below
Sorting:
- using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions☆56Updated 4 years ago
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆53Updated 3 years ago
- resVAE is a restricted latent variational autoencoder that we wrote to uncover hidden structures in gene expression data, especially usin…☆12Updated 2 years ago
- a unified single-cell data integration framework by optimal transport☆35Updated last year
- ☆78Updated 3 years ago
- CLEAR: Self-supervised contrastive learning for integrative single-cell RNA-seq data analysis☆34Updated 2 years ago
- Discovering novel cell types across heterogenous single-cell experiments☆123Updated 2 years ago
- A deep-learning framework for multi-omics integration☆27Updated 2 years ago
- Imputing Single-cell RNA-seq data by combining Graph Convolution and Autoencoder Neural Networks☆19Updated last year
- ☆85Updated 2 years ago
- MOLI: Multi-Omics Late Integration with deep neural networks for drug response prediction☆55Updated 5 years ago
- High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations☆51Updated last month
- PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation☆48Updated 2 months ago
- scGNN (single cell graph neural networks) for single cell clustering and imputation using graph neural networks☆151Updated last year
- ☆72Updated last year
- ☆30Updated 3 years ago
- Code to reproduce results in Ravindra NG* & Sehanobish A* et al. 2020, "Disease State Prediction From Single-Cell Data Using Graph Attent…☆17Updated 5 years ago
- ☆15Updated 3 months ago
- ☆44Updated 9 months ago
- Evaluation suite for transcriptomic perturbation effect prediction models. Includes support for single-cell foundation models.☆26Updated 2 months ago
- ☆50Updated 2 months ago
- Network-based project to explore gene connectivity through biological scales☆23Updated 11 months ago
- Python Implementation of SIMLR for single-cell visualization and analysis☆24Updated 3 years ago
- Hypergraph Factorisation☆26Updated 10 months ago
- Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.☆124Updated 8 months ago
- Cell clustering for spatial transcriptomics data with graph neural network☆63Updated 2 years ago
- Predicting Cellular Responses with Variational Causal Inference and Refined Relational Information (ICLR 2023)☆19Updated 3 months ago
- ☆54Updated 2 months ago
- BulkFormer: A large-scale foundation model for human bulk transcriptomes☆20Updated 3 months ago
- Single-cell biological network inference using a heterogeneous graph transformer☆76Updated 7 months ago