Network-based integrative clustering of multiple types of genomic data using non-negative matrix factorization.
Prabhakar ChaliseYonghui NiBrooke L. FridleyPublished in: Comput. Biol. Medicine (2020)
Keyphrases
- multiple types
- genomic data
- heterogeneous information networks
- high throughput
- k means
- gene expression profiles
- clustering method
- clustering algorithm
- biological data
- gene expression data
- real world
- contextual information
- unsupervised learning
- class labels
- multiple features
- data points
- experimental conditions
- protein protein interactions
- microarray
- user interests
- high dimensionality
- information theoretic
- self organizing maps
- data integration
- active learning
- similarity measure
- high level
- machine learning