Hua0113 / DCAP
DCAP:Integrating multi-omics data with deep learning for predicting cancer prognosis
☆21Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for DCAP
- ☆50Updated last year
- Deep-Learning framework for multi-omic and survival data integration☆76Updated 11 months ago
- ☆29Updated 3 years ago
- Classifying tumor types based on Whole Genome Sequencing (WGS) data☆46Updated last year
- MOVE (Multi-Omics Variational autoEncoder) for integrating multi-omics data and identifying cross modal associations☆64Updated 3 weeks ago
- Code for ST_IGI package☆15Updated last week
- This project consists of three parts: Random forest model for GC diagnosis and Predict the survival outcomes of GC patient using RSF meth…☆16Updated last week
- repository with the scripts to run examples of the publications with new functionalities of TCGAbiolinks☆14Updated 2 years ago
- SALMON: Survival Analysis Learning with Multi-Omics Neural Networks☆69Updated 3 weeks ago
- Reproducing the experiments of the DestVI paper☆17Updated 2 years ago
- Deep Transfer Learning of Drug Sensitivity by Integrating Bulk and Single-cell RNA-seq data☆48Updated 3 months ago
- domain adaptation of spatial and single-cell transcriptome☆24Updated 2 months ago
- ☆95Updated last month
- Matilda is a multi-task framework for learning from single-cell multimodal omics data. Matilda leverages the information from the multi-m…☆19Updated this week
- Deciphering tumor ecosystems at super-resolution from spatial transcriptomics with TESLA☆46Updated 8 months ago
- Multi-omics integration method using AE and GCN☆31Updated last year
- ☆31Updated last month
- The Single-Cell Pathology Landscape of Breast Cancer☆21Updated 4 years ago
- ☆48Updated 7 months ago
- Morphology-Enhanced Spatial Transcriptome Analysis Integrator☆18Updated 2 months ago
- Python packaging for CPTAC data☆89Updated 4 months ago
- ☆17Updated 3 years ago
- a deep learning approach for integrative cancer subtyping of multi-omics data☆37Updated 6 months ago
- ☆62Updated last year
- ☆21Updated 2 years ago
- Preprocessing methylation pipeline, written in python. Easy to use and highly parallelized.☆35Updated 4 years ago
- ☆32Updated 2 years ago
- ☆30Updated 10 months ago
- ☆41Updated 2 years ago