ruiyi-zhang / scPretrain
scPretrain: Multi-task self-supervised learning for cell type classification
☆22Updated 3 years ago
Alternatives and similar repositories for scPretrain:
Users that are interested in scPretrain are comparing it to the libraries listed below
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆49Updated 3 years ago
- A deep-learning framework for multi-omics integration☆24Updated last year
- resVAE is a restricted latent variational autoencoder that we wrote to uncover hidden structures in gene expression data, especially usin…☆12Updated 2 years ago
- ☆17Updated 3 years ago
- An unsupervised scRNA-seq analysis workflow with graph attention networks☆24Updated 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
- ☆28Updated 3 years ago
- using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions☆56Updated 3 years ago
- Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence☆37Updated 2 years ago
- Imputing Single-cell RNA-seq data by combining Graph Convolution and Autoencoder Neural Networks☆19Updated 7 months ago
- Single cell joint embedding and modality prediction with autoencoder☆9Updated 2 years ago
- a unified single-cell data integration framework by optimal transport☆33Updated 3 months ago
- SIMBA: SIngle-cell eMBedding Along with features☆57Updated 3 months ago
- Iterative transfer learning with neural network improves clustering and cell type classification in single-cell RNA-seq analysis☆54Updated 3 years ago
- ☆36Updated 2 years ago
- CLEAR: Self-supervised contrastive learning for integrative single-cell RNA-seq data analysis☆31Updated 2 years ago
- Cell clustering for spatial transcriptomics data with graph neural network☆58Updated last year
- ☆51Updated 9 months ago
- Simultaneous deep generative modeling and clustering of single cell genomic data☆29Updated 2 years ago
- CoGO: a contrastive learning framework to predict disease similarity based on gene network and ontology structure☆16Updated 4 months ago
- PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation☆29Updated 2 months ago
- Single-cell spatial elucidation through image-augmented graph transformer☆31Updated last year
- scDCC: Single Cell Deep Constrained Clustering☆41Updated 6 months ago
- ☆41Updated last year
- ☆26Updated 2 years ago
- High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations☆47Updated this week
- Hypergraph Factorisation☆22Updated 2 months ago
- Python Implementation of SIMLR for single-cell visualization and analysis☆23Updated 2 years ago
- Generative adversarial networks for single-cell RNA-seq imputation☆38Updated 4 years ago
- Unsupervised cell functional annotation for single-cell RNA-Seq☆22Updated 2 years ago