Aika Terada

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—Three or more transcription factors (TFs) often work together, and the combinatorial regulations are essential in cellular machinery. However, it is impossible to discover statistically significant sets of TF binding motifs due to the necessity of the multiple testing procedure. To improve the sensitivity of widely used Bonferroni correction or its(More)
A gene network is constructed with genes as nodes, and interactions between genes as edges so as to reveal unknown gene functions and relationship. However, nodes and edges of gene networks are usually very numerous. Because of that, it may be difficult to understand relations between genomic functions and gene-gene interactions, if it is visualized by(More)
Genome-wide association studies (GWASs) are widely used to investigate statistically significant associations between diseases and single nucleotide polymorphisms (SNPs) to identify causal factors of diseases. In GWAS, statistical significance of more than one million SNPs have been recently assessed, but in many case, no associations are found because of(More)
Upcoming many core processors are expected to employ a distributed memory architecture similar to currently available supercomputers, but parallel pattern mining algorithms amenable to the architecture are not comprehensively studied. We present a novel closed pattern mining algorithm with a well-engineered communication protocol, and generalize it to find(More)
Genome-wide association studies (GWAS) have been widely used for understanding the associations of single-nucleotide polymorphisms (SNPs) with a disease. GWAS data are often combined with known biological networks, and they have been analyzed using graph-mining techniques toward a systems understanding of the biological changes caused by the SNPs. To(More)
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