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Special issue on resilience in steel structures

Structures”. Guest Editors Wei Wang Professor, Tongji University, China E-mail: Tak-Ming Chan Assistant Professor, The Hong Kong Polytechnic University, Hong Kong SAR, China Yunfeng Zhang Professor, University ... of Maryland, USA Dr. Tak-Ming Chan graduated from the University of Hong Kong, China in 2001 with a first class honours degree in Civil Engineering. He started his structural engineering career by

DNA motif elucidation using belief propagation

Protein-binding microarray (PBM) is a high-throughout platform that can measure the DNA-binding preference of a protein in a comprehensive and unbiased manner. A typical PBM experiment can measure binding signal intensities of a protein to all the possible DNA k-mers (k = 8 ∼10); such comprehensive binding affinity data usually need to be reduced and represented as motif models ...

Sparse logistic regression with a L1/2 penalty for gene selection in cancer classification

BMC Bioinformatics Sparse logistic regression with a L penalty 1/2 for gene selection in cancer classification Yong Liang 0 Cheng Liu 0 Xin-Ze Luan 0 Kwong-Sak Leung Tak-Ming Chan Zong-Ben Xu Hai

Subtypes of associated protein–DNA (Transcription Factor-Transcription Factor Binding Site) patterns

In protein–DNA interactions, particularly transcription factor (TF) and transcription factor binding site (TFBS) bindings, associated residue variations form patterns denoted as subtypes. Subtypes may lead to changed binding preferences, distinguish conserved from flexible binding residues and reveal novel binding mechanisms. However, subtypes must be studied in the context of core ...

TFBS identification based on genetic algorithm with combined representations and adaptive post-processing

Tak-Ming Chan 0 Kwong-Sak Leung 0 Kin-Hong Lee 0 Associate Editor: Martin Bishop 0 Department of Computer Science & Engineering, The Chinese University of Hong Kong , Shatin, N. T., Hong Kong

Discovering multiple realistic TFBS motifs based on a generalized model

Background Identification of transcription factor binding sites (TFBSs) is a central problem in Bioinformatics on gene regulation. de novo motif discovery serves as a promising way to predict and better understand TFBSs for biological verifications. Real TFBSs of a motif may vary in their widths and their conservation degrees within a certain range. Deciding a single motif width by ...

Discovering protein–DNA binding sequence patterns using association rule mining

Protein–DNA bindings between transcription factors (TFs) and transcription factor binding sites (TFBSs) play an essential role in transcriptional regulation. Over the past decades, significant efforts have been made to study the principles for protein–DNA bindings. However, it is considered that there are no simple one-to-one rules between amino acids and nucleotides. Many methods ...