Hua0113 / DCAPLinks
DCAP:Integrating multi-omics data with deep learning for predicting cancer prognosis
☆21Updated 4 years ago
Alternatives and similar repositories for DCAP
Users that are interested in DCAP are comparing it to the libraries listed below
Sorting:
- Deep-Learning framework for multi-omic and survival data integration☆82Updated last year
- ☆55Updated 2 years ago
- Classifying tumor types based on Whole Genome Sequencing (WGS) data☆48Updated last year
- Code for paper "A deep profile of gene expression across 18 human cancers"☆25Updated 6 months ago
- ☆33Updated 3 years ago
- SALMON: Survival Analysis Learning with Multi-Omics Neural Networks☆67Updated 7 months ago
- SEQUOIA: Digital profiling of cancer transcriptomes with grouped vision attention☆41Updated 2 weeks ago
- ☆14Updated last year
- Self-supervised representation learning combining GTEx histology, RNA-seq and WGS☆29Updated 2 months ago
- Containerized cancer subtype prediction tools for gene expression, miRNA, DNA methylation, somatic mutations and copy number variation.☆24Updated 2 months ago
- This project consists of three parts: Random forest model for GC diagnosis and Predict the survival outcomes of GC patient using RSF meth…☆28Updated 7 months ago
- jupyter notebook; perform differential gene expression analysis using DESeq2 on TCGA RNAseq data☆32Updated 6 years ago
- repository with the scripts to run examples of the publications with new functionalities of TCGAbiolinks☆16Updated 3 years ago
- Multi-task deep learning framework for multi-omics data analysis☆45Updated 3 years ago
- ☆66Updated last year
- Multi-omics integration method using AE and GCN☆35Updated 2 years ago
- DeepSpot: Leveraging Spatial Context for Enhanced Spatial Transcriptomics Prediction from H&E Images☆49Updated 2 weeks ago
- ☆34Updated 5 months ago
- Deep Transfer Learning of Drug Sensitivity by Integrating Bulk and Single-cell RNA-seq data☆54Updated 11 months ago
- scGCN is a graph convolutional networks algorithm for knowledge transfer in single cell omics☆40Updated 2 years ago
- ☆42Updated 6 months ago
- Preprocessing methylation pipeline, written in python. Easy to use and highly parallelized.☆36Updated 5 years ago
- MOVE (Multi-Omics Variational autoEncoder) for integrating multi-omics data and identifying cross modal associations☆79Updated 7 months ago
- ☆19Updated 4 years ago
- a deep learning approach for integrative cancer subtyping of multi-omics data☆38Updated last year
- ☆17Updated 5 years ago
- Collaboration with Montine, Chang, and Montgomery labs on Alzheimers / Parkinson's ATAC-seq analysis☆46Updated 4 years ago
- Fusion strategies to build multimodal predictors for the prediction of immunotherapy response in non-small cell lung cancer☆11Updated 5 months ago
- A deep-learning framework for multi-omics integration☆26Updated last year
- Experimental evaluation and comparison of multi-omics data integration methods for cancer subtyping☆13Updated 3 years ago