txWang / MOGONET
MOGONET (Multi-Omics Graph cOnvolutional NETworks) is a novel multi-omics data integrative analysis framework for classification tasks in biomedical applications.
☆160Updated 4 years ago
Alternatives and similar repositories for MOGONET:
Users that are interested in MOGONET are comparing it to the libraries listed below
- ☆42Updated 3 months ago
- Cell clustering for spatial transcriptomics data with graph neural network☆59Updated 2 years ago
- ☆44Updated last year
- Identify spatial domain☆69Updated last year
- Multi-omics integration method using AE and GCN☆34Updated last year
- ☆112Updated last year
- MOVE (Multi-Omics Variational autoEncoder) for integrating multi-omics data and identifying cross modal associations☆75Updated 5 months ago
- Deep-Learning framework for multi-omic and survival data integration☆80Updated last year
- MOGONET (Multi-Omics Graph cOnvolutional NETworks) is multi-omics data integrative analysis framework for classification tasks in biomedi…☆14Updated last week
- End-to-end deep learning model for low dimensional latent space extraction and multi-class classification on multi-omics datasets.☆34Updated 3 years ago
- scGNN (single cell graph neural networks) for single cell clustering and imputation using graph neural networks☆144Updated 8 months ago
- Multi-task deep learning framework for multi-omics data analysis☆43Updated 2 years ago
- ☆10Updated last year
- Her2 Breast Cancer Project☆67Updated 2 years ago
- SpaGCN: Integrating gene expression, spatial location and histology to identify spatial domains and spatially variable genes by graph con…☆212Updated last year
- a unified single-cell data integration framework by optimal transport☆35Updated 6 months ago
- CLEAR: Self-supervised contrastive learning for integrative single-cell RNA-seq data analysis☆33Updated 2 years ago
- Spatially Resolved Gene Expression Prediction from H&E Histology Images via Bi-modal Contrastive Learning☆73Updated 5 months ago
- ☆39Updated last year
- ☆11Updated 4 years ago
- MOMA: A Multi-task Attention Learning Algorithm for Multi-omics Data Interpretation and Classification☆16Updated last year
- Repository for Nicheformer: a foundation model for single-cell and spatial omics☆88Updated last week
- An explainable multi-omics graph integration method based on graph convolutional networks to predict cancer genes.☆149Updated 2 years ago
- Adaptive Graph Attention Auto-encoder for Spatial Domain Identification of Spatial Transcriptomics (STAGATE software based on pyG framewo…☆56Updated last year
- Transformer for One-Stop Interpretable Cell-type Annotation☆138Updated last year
- DCAP:Integrating multi-omics data with deep learning for predicting cancer prognosis☆21Updated 4 years ago
- CoGO: a contrastive learning framework to predict disease similarity based on gene network and ontology structure☆16Updated 6 months ago
- Dependency-aware deep generative models for multitasking analysis of spatial genomics data☆35Updated 8 months ago
- SpatialGlue is a novel deep learning methods for spatial multi-omics data integration.☆52Updated 9 months ago
- Adaptive Graph Attention Auto-encoder for Spatial Domain Identification of Spatial Transcriptomics☆71Updated 3 years ago