Winnie W. M. Lam

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There exist many methods for classifying genomic data by aligning, comparing, and analyzing primary nucleotide sequences using such algorithms as decision tree and HMM. These methods are, however, not always effective as motifs are more conserved in structures than in sequences. Instead of performing classification based on primary sequences, we therefore(More)
Protein molecules interact with each other in protein complexes to perform many vital functions, and different computational techniques have been developed to identify protein complexes in protein-protein interaction (PPI) networks. These techniques are developed to search for subgraphs of high connectivity in PPI networks under the assumption that the(More)
The layout of a Web page commonly offers a limited variety of elements arranged in a number of ways, for example, in navigation panels, or as advertisements, text content, and images. Presumably, the layout of a Web page will influence the way it is used, and this may or may not match the intentions of its designers. In this paper, we propose a novel graph(More)
Comparative genomics is concerned with the study of genome structure and function of different species. It can provide useful information for the derivation of evolutionary and functional relationships between genomes. Previous work on genome comparison focuses mainly on comparing the entire genomes for visualization without further analysis. As many(More)
Graph data mining algorithms are increasingly applied to biological graph dataset. However, while existing graph mining algorithms can identify frequently occurring sub-graphs, these do not necessarily represent useful patterns. In this paper, we propose a novel graph mining algorithm, MIGDAC (Mining Graph DAta for Classification), that applies graph theory(More)
BACKGROUND We aimed to investigate whether baseline cerebrovascular reactivity could predict subsequent ischemic event after intervention and identify the patient group for more aggressive medical and interventional management paradigms. METHODS Patients with more than 70% cervical carotid stenosis (from ultrasonography) were reviewed. Patients, who had(More)
Given a set of molecular structure data preclassified into a number of classes, the molecular classification problem is concerned with the discovering of interesting structural patterns in the data so that “unseen” molecules not originally in the dataset can be accurately classified. To tackle the problem, interesting molecular substructures(More)
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