TAK MING CHAN (5 risultati)

Condizione: Like New. Used - Like New. Book is new and unread but may have minor shelf wear. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.

paperback. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Hardcover. Condizione: Poor. No Jacket. 1st Edition. 256 pp. plus plates and advertisements. no dust jacket, cover wear, some label residue on front cover, some tears along hinges, page yellowing along margins, pages 115-116 is missing (aeronautics section), pages 113/114 is detached with tears to edges, a few pages have tears (four with clear tape repair), includes loose award certificate to a student for perfect attendance at Central Junior High School in 1933-1934. Featured in "The Chinese Photobook: From the 1900s to the Present" by Martin Parr & WassinkLundgren, pages 56-57. "China comes alive in The Living China, which is not limited to black-and-white photographs, but employs a number of different photographic styles to express the sense of a dynamic, vibrant place and of daily life in China in 1930.".

Kartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: CHAN Tak-MingDr. Tak-Ming CHAN obtained his Ph.D from the Department of Computer Science & Engineering, the Chinese University of Hong Kong in 2010, and his B.Sc. in Computer science from Fudan University in 2006. His research is abo.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Transcription Factor (TF) and Transcription Factor Binding Site (TFBS) bindings are fundamental protein-DNA interactions in transcriptional regulation. TFs and TFBSs are conserved to form patterns (motifs) due to their important roles for controlling gene expressions and finally affecting functions and appearances. Pattern discovery is thus important for deciphering gene regulation, which has tremendous impacts on the understanding of life, bio-engineering and therapeutic applications. This thesis contributes to pattern discovery involving TFBS motifs and TF-TFBS associated sequence patterns based on Evolutionary Computation (EC), especially Genetic Algorithms (GAs), which are promising for bioinformatics problems with huge and noisy search space. On TFBS motif discovery, three novel GA based algorithms are developed, namely GALF-P with focus on optimization, GALF-G for modeling, and GASMEN for spaced motifs. TF-TFBS associated sequence pattern (rule) discovery is further investigated for better deciphering protein-DNA interactions in regulation. We for the first time generalize previous exact TF-TFBS rules to approximate ones using a progressive approach.