jianglindong93 / AUTOSurv
☆11Updated 10 months ago
Related projects ⓘ
Alternatives and complementary repositories for AUTOSurv
- DCAP:Integrating multi-omics data with deep learning for predicting cancer prognosis☆21Updated 3 years ago
- ☆29Updated 3 years ago
- Deep-Learning framework for multi-omic and survival data integration☆76Updated 11 months ago
- ☆50Updated last year
- Experimental evaluation and comparison of multi-omics data integration methods for cancer subtyping☆11Updated 3 years ago
- ☆34Updated 2 years ago
- ☆41Updated 2 years ago
- Code for ST_IGI package☆15Updated last week
- ☆14Updated last year
- repository with the scripts to run examples of the publications with new functionalities of TCGAbiolinks☆14Updated 2 years ago
- ☆17Updated 3 years ago
- ⛑ Code for "Metabolomic profiles predict individual multi-disease outcomes" ⛑☆21Updated 2 years ago
- 🫀 Code for "Neural network-based integration of polygenic and clinical information: Development and validation of a prediction model for…☆13Updated 2 years ago
- 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
- SALMON: Survival Analysis Learning with Multi-Omics Neural Networks☆69Updated 3 weeks ago
- ☆17Updated 4 years ago
- Code to reproduce the multi-omics benchmark study☆7Updated 2 years ago
- ☆21Updated 2 years ago
- MOVE (Multi-Omics Variational autoEncoder) for integrating multi-omics data and identifying cross modal associations☆64Updated 3 weeks ago
- a deep learning approach for integrative cancer subtyping of multi-omics data☆37Updated 6 months ago
- Multi-task deep learning framework for multi-omics data analysis☆40Updated 2 years ago
- An interpretable deep learning model for cancer classification using high-dimensional omics data☆15Updated 2 years ago
- ☆32Updated 2 years ago
- Generative adversarial networks for single-cell RNA-seq imputation☆36Updated 4 years ago
- ☆18Updated 3 months ago
- Multi-omics integration method using AE and GCN☆31Updated last year
- Spatial cellular architecture predicts prognosis in glioblastoma - Nature Communications☆18Updated 11 months ago
- resVAE is a restricted latent variational autoencoder that we wrote to uncover hidden structures in gene expression data, especially usin…☆12Updated last year