GENESHIFT: A Nonparametric Approach for Integrating Microarray Gene Expression Data Based on the Inner Product as a Distance Measure between the Distributions of Genes.
Cosmin LazarJonatan TaminauStijn MeganckDavid SteenhoffAlain ColettaDavid Y. Weiss SolísColin MolterRobin DuqueHugues BersiniAnn NowéPublished in: IEEE ACM Trans. Comput. Biol. Bioinform. (2013)
Keyphrases
- microarray gene expression data
- distance measure
- vector space
- kullback leibler
- kullback leibler divergence
- microarray data
- gene expression data
- similarity measure
- cancer classification
- euclidean distance
- gene regulatory networks
- data sets
- microarray datasets
- probability distribution
- gene selection
- information theoretic
- random variables
- kl divergence
- microarray
- feature selection
- decision trees
- gene expression profiles
- informative genes
- machine learning