fsct135 / 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:
- ☆56Updated 3 years ago
- Deep-Learning framework for multi-omic and survival data integration☆86Updated last year
- ☆35Updated 4 years ago
- SEQUOIA: Digital profiling of cancer transcriptomes with grouped vision attention☆43Updated 5 months ago
- Self-supervised representation learning combining GTEx histology, RNA-seq and WGS☆31Updated 7 months ago
- ☆44Updated 11 months ago
- Multi-omics integration method using AE and GCN☆38Updated 2 years ago
- Generative adversarial networks for single-cell RNA-seq imputation☆39Updated 5 years ago
- MOVE (Multi-Omics Variational autoEncoder) for integrating multi-omics data and identifying cross modal associations☆89Updated last year
- This project consists of three parts: Random forest model for GC diagnosis and Predict the survival outcomes of GC patient using RSF meth…☆31Updated last year
- Classifying tumor types based on Whole Genome Sequencing (WGS) data☆49Updated 2 years ago
- P-NET, Biologically informed deep neural network for prostate cancer classification and discovery☆163Updated 4 years ago
- Code for paper "A deep profile of gene expression across 18 human cancers"☆29Updated 11 months ago
- Deep learning-based tissue compositions and cell-type-specific gene expression analysis with tissue-adaptive autoencoder (TAPE)☆56Updated last year
- ☆66Updated 2 years ago
- Python packaging for CPTAC data☆107Updated last year
- scGCN is a graph convolutional networks algorithm for knowledge transfer in single cell omics☆41Updated 3 years ago
- repository with the scripts to run examples of the publications with new functionalities of TCGAbiolinks☆16Updated 3 years ago
- a deep learning approach for integrative cancer subtyping of multi-omics data☆39Updated last year
- SALMON: Survival Analysis Learning with Multi-Omics Neural Networks☆67Updated last year
- resVAE is a restricted latent variational autoencoder that we wrote to uncover hidden structures in gene expression data, especially usin…☆12Updated 2 years ago
- The Single-Cell Pathology Landscape of Breast Cancer☆27Updated 5 years ago
- Preprocessing methylation pipeline, written in python. Easy to use and highly parallelized.☆36Updated 5 years ago
- ☆35Updated 3 weeks ago
- Building classifiers using cancer transcriptomes across 33 different cancer-types☆121Updated 6 years ago
- ☆22Updated 3 years ago
- Experimental evaluation and comparison of multi-omics data integration methods for cancer subtyping☆14Updated 4 years ago
- DeepSpot: Leveraging Spatial Context for Enhanced Spatial Transcriptomics Prediction from H&E Images☆61Updated last month
- Using traditional machine learning and deep learning methods to predict stuff from TCGA pathology slides.☆18Updated 7 years ago
- Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence☆39Updated 3 years ago