Using Most Similarity Tree Based Clustering to Select the Top Most Discriminating Genes for Cancer Detection.
Xinguo LuYaping LinXiaolin YangLijun CaiHaijun WangGustaph SangaPublished in: ICAISC (2006)
Keyphrases
- cancer detection
- gene selection
- microarray data analysis
- similarity function
- gene expression profiles
- clustering algorithm
- microarray gene
- cancer classification
- gene expression
- clustering method
- microarray
- microarray data
- k means
- similarity measure
- dissimilarity measure
- prostate cancer
- gene expression analysis
- clustering gene expression data
- experimental conditions
- gene expression data
- unsupervised learning
- information theoretic
- biclustering algorithms
- gene ontology
- data analysis
- clustering analysis