Clustering is a common methodology for analyzing the gene expression data. In this paper, we present a new clustering algorithm from an information-theoretic point of view. First,...
The soundness of clustering in the analysis of gene expression profiles and gene function prediction is based on the hypothesis that genes with similar expression profiles may imp...
The ability to control gene expression during development in plants could be used for improving crop yields, resistance to disease, and environmental adaptability. It has been sug...
Christopher Maher, Marja Timmermans, Lincoln Stein...
Our previous work to accelerate phylogeny inference using HW/SW(Hardware/Software) co-design has recently been extended to a more powerful embedded computing platform. In this pla...
Phylogenetic trees are commonly reconstructed based on hard optimization problems such as maximum parsimony (MP) and maximum likelihood (ML). Conventional MP heuristics for produc...
Usman Roshan, Bernard M. E. Moret, Tandy Warnow, T...