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Your search keyword '"Wai Leong"' showing total 34 results
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34 results on '"Wai Leong"'

6. Economics

Author

Wai Leong, Wong, primary, Shook Ying, Ngew, additional, and Munusamy, Nedumaran, additional

Published
2022
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10. Economics

Author

Wai Leong, Wong, primary, Shook Ying, Ngew, additional, and Munusamy, Nedumaran, additional

Published
2020
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23. A New Approach for Similarity Queries of Biological Sequences in Databases.

Author

Carbonell, Jaime G., Siekmann, Jörg, Zhi-Hua Zhou, Hang Li, Qiang Yang, Hoong Kee Ng, Kang Ning, and Hon Wai Leong

Abstract

As biological databases grow larger, effective query of the biological sequences in these databases has become an increasingly important issue for researchers. There are currently not many systems for fast access of very large biological sequences. In this paper, we propose a new approach for biological sequences similarity querying in databases. The general idea is to first trans form the biological sequences into vectors and then onto 2-d points in planes; then use a spatial index to index these points with self-organizing maps (SOM), and perform a single efficient similarity query (with multiple simultaneous input sequences) using a fast algorithm, the multi-point range query (MPRQ) algorithm. This approach works well because we could perform multiple sequences similarity queries and return the results with just one MPRQ query, with tremendous savings in query time. We applied our method onto DNA and protein sequences in database, and results show that our algorithm is efficient in time, and the accuracies are satisfactory. [ABSTRACT FROM AUTHOR]

Published
2007
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33. A Database Search Algorithm for Identification of Peptides with Multiple Charges Using Tandem Mass Spectrometry.

Author

Jinyan Li, Qiang Yang, Ah-Hwee Tan, Kang Ning, Ket Fah Chong, and Hon Wai Leong

Abstract

Peptide sequencing using tandem mass spectrometry is the process of interpreting the peptide sequence from a given mass spectrum. Peptide sequencing is an important but challenging problem in bioinformatics. The advancement in mass spectrometry machines has yielded great amount of high quality spectra data, but the methods to analyze these spectra to get peptide sequences are still accurate. There are two types of peptide sequencing methods -database search methods and the de novo methods. Much progress has been made, but the accuracy and efficiency of these methods are not satisfactory and improvements are urgently needed. In this paper, we will introduce a database search algorithm for sequencing of peptides using tandem mass spectrometry. This Peptide Sequence Pattern (PSP) algorithm first generates the peptide sequence patterns (PSPs) by connecting the strong tags with mass differences. Then a linear time database search process is used to search for candidate peptide sequences by PSPs, and the candidate peptide sequences are then scored by share peaks count. The PSP algorithm is designed for peptide sequencing from spectra with multiple charges, but it is also applicable for singly charged spectra. Experiments have shown that our algorithm can obtain better sequencing results than current database search algorithms for many multiply charged spectra, and comparative results for singly charged spectra against other algorithms. [ABSTRACT FROM AUTHOR]

Published
2006
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