Joint analysis of multiple high-dimensional data types using sparse matrix approximations of rank-1 with applications to ovarian and liver cancer.
Gordon OkimotoAshkan ZeinalzadehTom WenskaMichael LoomisJames B. NationTiphaine FabreMaarit TiirikainenBrenda HernandezOwen ChanLinda WongSandi KweePublished in: BioData Min. (2016)
Keyphrases
- data types
- sparse matrix
- high dimensional
- data model
- database systems
- databases
- database management systems
- outcome prediction
- database
- ovarian cancer
- gene selection
- data representation
- high dimensionality
- high dimensional data
- low dimensional
- distance measure
- dimensionality reduction
- k means
- data analysis
- data structure
- data mining