PAGE-Net: Interpretable and Integrative Deep Learning for Survival Analysis Using HistopathologicalImages and Genomic Data.
Jie HaoSai Chandra KosarajuNelson Zange TsakuDae Hyun SongMingon KangPublished in: PSB (2020)
Keyphrases
- deep learning
- genomic data
- survival analysis
- machine learning
- high throughput
- regression model
- breast cancer
- unsupervised learning
- predictive modeling
- biological data
- data mining methods
- protein protein interactions
- gene expression data
- experimental conditions
- gene ontology
- gene expression
- gene expression profiles
- logistic regression
- data mining
- weakly supervised
- keywords
- microarray
- data integration
- genetic programming
- co occurrence
- supervised learning
- knn
- artificial intelligence
- metadata
- learning algorithm
- feature selection