A considerable fraction of yeast gene promoters are bound by multiple transcription factors. To study the combinatorial interactions of multiple transcription factors is thus impor...
We propose a novel approach for predicting protein functions of an organism by coupling sequence homology and PPI data between two (or more) species with multifunctional Gene Onto...
Antonina Mitrofanova, Vladimir Pavlovic, Bud Mishr...
Abstract. An important problem in the bioinformatics field is to understand how genes are regulated and interact through gene networks. This knowledge can be helpful for many appl...
In the past decades, many clustering algorithms have been proposed for the analysis of gene expression data, but little guidance is available to help choose among them. Given the ...
— Gene expression based cancer classification using classifier ensembles is the main focus of this work. A new ensemble method is proposed that combines predictions of a small ...