zhangxiaoyu11 / XOmiVAELinks
An interpretable deep learning model for cancer classification using high-dimensional omics data
☆15Updated 3 years ago
Alternatives and similar repositories for XOmiVAE
Users that are interested in XOmiVAE are comparing it to the libraries listed below
Sorting:
- Python framework for single-cell RNA-seq clustering with special focus on transfer learning.☆18Updated 5 years ago
- DCAP:Integrating multi-omics data with deep learning for predicting cancer prognosis☆21Updated 4 years ago
- ☆55Updated 2 years ago
- ☆14Updated last year
- ☆16Updated 2 years ago
- An unsupervised scRNA-seq analysis workflow with graph attention networks☆23Updated 2 years ago
- ☆33Updated 3 years ago
- Generative adversarial networks for single-cell RNA-seq imputation☆39Updated 4 years ago
- using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions☆56Updated 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…☆16Updated 5 years ago
- Single-cell RNA-seq clustering and annotation☆13Updated 4 years ago
- Cell clustering for spatial transcriptomics data with graph neural network☆61Updated 2 years ago
- ☆42Updated 5 months ago
- repository with the scripts to run examples of the publications with new functionalities of TCGAbiolinks☆15Updated 3 years ago
- a deep learning approach for integrative cancer subtyping of multi-omics data☆38Updated last year
- ☆22Updated 2 years ago
- Iterative transfer learning with neural network improves clustering and cell type classification in single-cell RNA-seq analysis☆54Updated 3 years ago
- ☆66Updated last year
- SemI-SUpervised generative Autoencoder models for single cell data☆18Updated 4 years ago
- Matilda is a multi-task framework for learning from single-cell multimodal omics data. Matilda leverages the information from the multi-m…☆20Updated 6 months ago
- Spatial cellular architecture predicts prognosis in glioblastoma - Nature Communications☆24Updated last year
- Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence☆39Updated 2 years ago
- scDCC: Single Cell Deep Constrained Clustering☆40Updated 10 months ago
- Tumor-Infiltrating CD8 Lymphocytes states prediction☆12Updated last year
- ☆21Updated 11 months ago
- Multi-task deep learning framework for multi-omics data analysis☆45Updated 3 years ago
- ☆19Updated 4 years ago
- The source code and results for different methods on annotating external testing datsets of human and mouse.☆12Updated 4 years ago
- Deep learning-based tissue compositions and cell-type-specific gene expression analysis with tissue-adaptive autoencoder (TAPE)☆56Updated last year
- Experimental evaluation and comparison of multi-omics data integration methods for cancer subtyping☆13Updated 3 years ago