Learn More
—Previous studies have presented convincing arguments that a frequent pattern mining algorithm should not mine all frequent patterns but only the closed ones because the latter leads to not only a more compact yet complete result set but also better efficiency. However, most of the previously developed closed pattern mining algorithms work under the(More)
An information-theoretical approach, which combines a sequence decomposition technique and a fuzzy clustering algorithm, is proposed for prediction of protein structural class. This approach could bypass the process of selecting and comparing sequence features as done previously. First, distances between each pair of protein sequences are estimated using a(More)
MicroRNA (miRNA)-mediated gene silencing has recently emerged as a major mechanism of gene expression regulation during development in a variety of species. Little is known, however, about the presence of components of miRNA machinery in mammalian organogenesis. In this study, we report that members of the Argonaute (Ago) gene family are expressed in(More)
BACKGROUND Large-scale candidate-gene and genome-wide association studies genotype multiple SNPs within or surrounding a gene, including both tag and functional SNPs. The immense amount of data generated in these studies poses new challenges to analysis. One particularly challenging yet important question is how to best use all genetic information to test(More)
MOTIVATION Admixed populations offer a unique opportunity for mapping diseases that have large disease allele frequency differences between ancestral populations. However, association analysis in such populations is challenging because population stratification may lead to association with loci unlinked to the disease locus. METHODS AND RESULTS We show(More)