Binary State Pattern Clustering: A Digital Paradigm for Class and Biomarker Discovery in Gene Microarray Studies of Cancer

Abstract

Class and biomarker discovery continue to be among the preeminent goals in gene microarray studies of cancer. We have developed a new data mining technique, which we call Binary State Pattern Clustering (BSPC) that is specifically adapted for these purposes, with cancer and other categorical datasets. BSPC is capable of uncovering statistically significant… (More)
DOI: 10.1089/cmb.2006.13.1114

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Cite this paper

@article{Beattie2006BinarySP, title={Binary State Pattern Clustering: A Digital Paradigm for Class and Biomarker Discovery in Gene Microarray Studies of Cancer}, author={Bradley J. Beattie and Peter N. Robinson}, journal={Journal of computational biology : a journal of computational molecular cell biology}, year={2006}, volume={13 5}, pages={1114-30} }