A supervised learning approach to the ensemble clustering of genes.
Andrew K. RiderGeoffrey SiwoScott J. EmrichMichael T. FerdigNitesh V. ChawlaPublished in: Int. J. Data Min. Bioinform. (2014)
Keyphrases
- ensemble clustering
- supervised learning
- gene expression
- gene expression data
- matrix completion
- microarray data
- unsupervised learning
- supervised classification
- machine learning
- training data
- training set
- gene regulatory networks
- data clustering
- semi supervised
- gene expression profiles
- gene selection
- semi supervised learning
- active learning
- microarray
- class labels
- labeled data
- biological processes
- consensus clustering
- learning algorithm
- gene ontology
- bayesian networks
- unlabeled data
- dimensionality reduction
- data sets