Satoru Miyano

TL;DR: Efficient Algorithms for Detecting Signaling Pathways in Protein Interaction Networks and Modeling the Combinatorial Functions of Multiple Transcription Factors.

TL;DR: This study introduces MIEA as a broadly applicable gene set screening tool for mining regulatory programs from transcriptome data because it can detect singular expression profiles that the other methods fail to find, and performs broadly well for various types of input data.

TL;DR: By the experiments on transmembrane domain sequences and -helix predictions, it is shown that the accuracy of the predictor produced by HAKKE is much higher than that of any prediction algorithms in the pool.

TL;DR: The frequency and mutational landscape of der(1;7) in myeloid neoplasms on the basis of targeted-capture sequencing was clarified and a strong male predominance in der( 1;7)-positive cases (90.4%) compared to negative cases was identified.

TL;DR: In this article, a measure of approximation of a hypothesis class C 1 to another class C 2 is defined, where C 1 is (1 - e)-approximated to C 2 if, for every distribution D over {0, 1} m, and for each hypothesis h 1 E C 1, there exists a hypothesis h 2 E C 2 such that, with the probability at most e, we have h 1 (x) ¬= h 2 e C 2 (x), where x E is drawn randomly and independently according to D.