zhangxiaoyu11 / XOmiVAE
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
- DCAP:Integrating multi-omics data with deep learning for predicting cancer prognosis☆21Updated 4 years ago
- Python framework for single-cell RNA-seq clustering with special focus on transfer learning.☆18Updated 5 years ago
- An unsupervised scRNA-seq analysis workflow with graph attention networks☆24Updated last year
- Python Implementation of SIMLR for single-cell visualization and analysis☆23Updated 2 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 4 years ago
- Spatial cellular architecture predicts prognosis in glioblastoma - Nature Communications☆20Updated last year
- Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence☆37Updated 2 years ago
- Cell clustering for spatial transcriptomics data with graph neural network☆59Updated last year
- using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions☆56Updated 3 years ago
- ☆18Updated 3 years ago
- resVAE is a restricted latent variational autoencoder that we wrote to uncover hidden structures in gene expression data, especially usin…☆12Updated 2 years ago
- Single-cell RNA-seq clustering and annotation☆13Updated 4 years ago
- ☆26Updated 4 years ago
- scDCC: Single Cell Deep Constrained Clustering☆41Updated 7 months ago
- BERMUDA (Batch Effect ReMoval Using Deep Autoencoders) is a novel transfer-learning-based method for batch correction in scRNA-seq data.☆29Updated 5 years ago
- SoptSC for single cell data analysis: unsupervised inference of clustering, cell lineage, pseudotime and cell-cell communication network …☆21Updated 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 2 months ago
- Enhancing spatial transcriptomics data by predicting the expression of unmeasured genes from a dissociated scRNA-seq data☆33Updated 7 months ago
- ☆14Updated 3 years ago
- SemI-SUpervised generative Autoencoder models for single cell data☆18Updated 3 years ago
- repository with the scripts to run examples of the publications with new functionalities of TCGAbiolinks☆14Updated 2 years ago
- The source code and results for different methods on annotating external testing datsets of human and mouse.☆12Updated 3 years ago
- Generative adversarial networks for single-cell RNA-seq imputation☆38Updated 4 years ago
- ☆33Updated 3 years ago
- ☆52Updated 2 years ago
- SAFE (Single-cell Aggregated clustering From Ensemble): Cluster ensemble for single-cell RNA-seq data☆17Updated 3 years ago
- scGCN is a graph convolutional networks algorithm for knowledge transfer in single cell omics☆41Updated 2 years ago
- The Single-Cell Pathology Landscape of Breast Cancer☆24Updated 5 years ago
- ☆17Updated 3 years ago
- Iterative transfer learning with neural network improves clustering and cell type classification in single-cell RNA-seq analysis☆54Updated 3 years ago