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Browsing by Author "Wong L"

Now showing items 1-7 of 7

Antibody-specified B-cell Epitope Prediction In Line With The Principle Of Context-awareness

Zhao L; Wong L; Li Jinyan (IEEE Computer Soc, 2011)

Context-awareness is a characteristic in the recognition between antigens and antibodies, highlighting the reconfiguration of epitope residues when an antigen interacts with a different antibody. A coarse binary classification ...
DBAC: A Simple Prediction Method For Protein Binding Hot Spots Based On Burial Levels And Deeply Buried Atomic Contacts

Li Zh; Wong L; Li Jinyan (Biomed Central Ltd, 2011)

Background: A protein binding hot spot is a cluster of residues in the interface that are energetically important for the binding of the protein with its interaction partner. Identifying protein binding hot spots can give ...
Maximal Biclique Subgraphs And Closed Pattern Pairs Of The Adjacency Matrix: A One-to-one Correspondence And Mining Algorithms

Li Jinyan; Liu Gm; Li Hq; Wong L (IEEE Computer Soc, 2007)

Maximal biclique (also known as complete bipartite) subgraphs can model many applications in Web mining, business, and bioinformatics. Enumerating maximal biclique subgraphs from a graph is a computationally challenging ...
A New Concise Representation Of Frequent Itemsets Using Generators And A Positive Border

Liu Gm; Li Jinyan; Wong L (Springer London Ltd, 2008)

A complete set of frequent itemsets can get undesirably large due to redundancy when the minimum support threshold is low or when the database is dense. Several concise representations have been previously proposed to ...
Pattern Space Maintenance For Data Updates And Interactive Mining

Feng Ml; Dong Gz; Li Jinyan; Tan Yp; Wong L (Wiley-blackwell, 2010)

This article addresses the incremental and decremental maintenance of the frequent pattern space. We conduct an in-depth investigation on how the frequent pattern space evolves under both incremental and decremental updates. ...
Structural Geography Of The Space Of Emerging Patterns

Li Jinyan; Wong L (IOS Press, 2005)

Describing and capturing significant differences between two classes of data is an important data mining and classification research topic. In this paper, we use emerging patterns to describe these significant differences. ...
Use Of Extreme Patient Samples For Outcome Prediction From Gene Expression Data

Liu Hq; Li Jinyan; Wong L (Oxford Univ Press, 2005)

Motivation: Patient outcome prediction using microarray technologies is an important application in bioinformatics. Based on patients' genotypic microarray data, predictions are made to estimate patients' survival time and ...

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Browsing by Author "Wong L"

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Browsing by Author "Wong L"