ruiyi-zhang / scPretrain
scPretrain: Multi-task self-supervised learning for cell type classification
☆22Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for scPretrain
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆48Updated 2 years ago
- ☆28Updated 2 years ago
- using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions☆55Updated 3 years ago
- a unified single-cell data integration framework by optimal transport☆31Updated last month
- resVAE is a restricted latent variational autoencoder that we wrote to uncover hidden structures in gene expression data, especially usin…☆12Updated last year
- Imputing Single-cell RNA-seq data by combining Graph Convolution and Autoencoder Neural Networks☆18Updated 5 months ago
- An unsupervised scRNA-seq analysis workflow with graph attention networks☆24Updated last year
- Single cell joint embedding and modality prediction with autoencoder☆9Updated 2 years ago
- PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation☆29Updated this week
- Code to reproduce results in Ravindra NG* & Sehanobish A* et al. 2020, "Disease State Prediction From Single-Cell Data Using Graph Attent…☆16Updated 4 years ago
- CLEAR: Self-supervised contrastive learning for integrative single-cell RNA-seq data analysis☆30Updated last year
- ☆36Updated last year
- ☆16Updated 3 years ago
- ☆48Updated 7 months ago
- SIMBA: SIngle-cell eMBedding Along with features☆55Updated last month
- Codes for paper: Evaluating the Utilities of Large Language Models in Single-cell Data Analysis.☆51Updated 2 months ago
- Hypergraph Factorisation☆21Updated last year
- Generative adversarial networks for single-cell RNA-seq imputation☆36Updated 4 years ago
- A deep-learning framework for multi-omics integration☆24Updated last year
- ☆72Updated last year
- The source code and results for different methods on annotating external testing datsets of human and mouse.☆11Updated 3 years ago
- Simultaneous deep generative modeling and clustering of single cell genomic data☆29Updated 2 years ago
- Code for evaluating single cell foundation models scBERT and scGPT☆30Updated 2 months ago
- ☆28Updated 2 months ago
- scDiff: A General Single-Cell Analysis Framework via Conditional Diffusion Generative Models☆22Updated 3 months ago
- Iterative transfer learning with neural network improves clustering and cell type classification in single-cell RNA-seq analysis☆52Updated 2 years ago
- Official repo for CellPLM: Pre-training of Cell Language Model Beyond Single Cells.☆68Updated 7 months ago
- This repository implements Graph Variational Causal Inference (graphVCI), a framework that integrates prior knowledge of relational infor…☆15Updated last year
- CoGO: a contrastive learning framework to predict disease similarity based on gene network and ontology structure☆16Updated last month
- Single-cell biological network inference using a heterogeneous graph transformer☆67Updated last year