@inbook{3a97c5e8ccab4299a25086c76c2fc2e1,
title = "A novel clustering approach: Global optimum search with enhanced positioning",
abstract = "Cluster analysis of DNA expression data is a useful tool for identifying biologically relevant gene groupings. It is hence important to apply a rigorous yet intuitive clustering algorithm to uncover these genomic relationships. Here, we describe a clustering framework [1,2] based on a variant of the Generalized Benders Decomposition, the Global Optimum Search [3,4]. We apply the proposed algorithm to experimental DNA microarray data and compare the results to that obtained with some commonly-used algorithms. We also propose an extension to iteratively uncover the optimal biologically coherent structures.",
author = "{P. Tan}, Meng and {R. Broach}, James and {A. Floudas}, Christodoulos",
note = "Funding Information: The authors gratefully acknowledge support from the National Science Foundation and the National Institutes of Health.",
year = "2007",
doi = "10.1016/S1570-7946(07)80188-X",
language = "English (US)",
isbn = "9780444531575",
series = "Computer Aided Chemical Engineering",
pages = "983--988",
editor = "Valentin Plesu and Agachi, {Paul Serban}",
booktitle = "17th European Symposium on Computer Aided Process Engineering",
}