dmis-lab / VAECox
ISMB 2020: Improved survival analysis by learning shared genomic information from pan-cancer data
☆17Updated 4 years ago
Alternatives and similar repositories for VAECox:
Users that are interested in VAECox are comparing it to the libraries listed below
- ☆65Updated last year
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆50Updated 3 years ago
- ☆29Updated 3 years ago
- Generative adversarial networks for single-cell RNA-seq imputation☆39Updated 4 years ago
- An accurate and efficient deep learning method for single-cell RNA-seq data imputation☆88Updated 3 years ago
- ☆54Updated last year
- ACTIONet single-cell analysis framework☆39Updated 7 months ago
- An unsupervised scRNA-seq analysis workflow with graph attention networks☆24Updated last year
- GEDFN: Graph-Embedded Deep Feedforward Network☆23Updated 6 years ago
- Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence☆38Updated 2 years ago
- This repository implements Graph Variational Causal Inference (graphVCI), a framework that integrates prior knowledge of relational infor…☆18Updated 2 months ago
- Deep Transfer Learning of Drug Sensitivity by Integrating Bulk and Single-cell RNA-seq data☆53Updated 9 months ago
- Multi-omics integration method using AE and GCN☆34Updated last year
- ☆16Updated 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
- ☆44Updated 2 years ago
- ☆23Updated 5 years ago
- A deep-learning framework for multi-omics integration☆26Updated last year
- ☆16Updated 2 years ago
- Discovering novel cell types across heterogenous single-cell experiments☆123Updated 2 years ago
- ☆29Updated 3 weeks ago
- ☆20Updated 3 years ago
- Reproducible pipeline for "Comprehensive evaluation of cell-type quantification methods for immuno-oncology", Sturm et al. 2019, https://…☆42Updated 4 years ago
- MOLI: Multi-Omics Late Integration with deep neural networks for drug response prediction☆54Updated 4 years ago
- ☆34Updated 3 years ago
- Create cell sentences from sequencing data☆22Updated 8 months ago
- Collaboration with Montine, Chang, and Montgomery labs on Alzheimers / Parkinson's ATAC-seq analysis☆46Updated 4 years ago
- scGCN is a graph convolutional networks algorithm for knowledge transfer in single cell omics☆40Updated 2 years ago
- R package for transfer learning of single-cell RNA-seq denoising☆30Updated 2 years ago
- using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions☆56Updated 3 years ago