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
- using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions☆55Updated 3 years ago
- An unsupervised scRNA-seq analysis workflow with graph attention networks☆24Updated last year
- A deep-learning framework for multi-omics integration☆24Updated last year
- a unified single-cell data integration framework by optimal transport☆30Updated last month
- Imputing Single-cell RNA-seq data by combining Graph Convolution and Autoencoder Neural Networks☆18Updated 4 months ago
- CLEAR: Self-supervised contrastive learning for integrative single-cell RNA-seq data analysis☆30Updated last year
- resVAE is a restricted latent variational autoencoder that we wrote to uncover hidden structures in gene expression data, especially usin…☆12Updated last year
- 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
- High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations☆47Updated 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
- ☆36Updated last year
- Discovering novel cell types across heterogenous single-cell experiments☆120Updated last year
- ☆29Updated 2 years ago
- Single-cell biological network inference using a heterogeneous graph transformer☆66Updated last year
- Codes for paper: Evaluating the Utilities of Large Language Models in Single-cell Data Analysis.☆48Updated 2 months ago
- Generative adversarial networks for single-cell RNA-seq imputation☆36Updated 4 years ago
- Simultaneous deep generative modeling and clustering of single cell genomic data☆30Updated last year
- ☆41Updated 2 years ago
- ☆48Updated 7 months ago
- ☆17Updated 3 years ago
- CoGO: a contrastive learning framework to predict disease similarity based on gene network and ontology structure☆16Updated last month
- ☆71Updated last year
- The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…☆88Updated 2 months ago
- Hypergraph Factorisation☆21Updated last year
- scDiff: A General Single-Cell Analysis Framework via Conditional Diffusion Generative Models☆22Updated 2 months ago
- Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence☆34Updated 2 years ago
- Biological Network Integration using Convolutions☆59Updated 9 months ago
- This repository implements Graph Variational Causal Inference (graphVCI), a framework that integrates prior knowledge of relational infor…☆15Updated last year