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Wing-Kin Sung

Researcher at National University of Singapore

Publications -  335
Citations -  28128

Wing-Kin Sung is an academic researcher from National University of Singapore. The author has contributed to research in topics: Gene & Genome. The author has an hindex of 64, co-authored 327 publications receiving 26116 citations. Previous affiliations of Wing-Kin Sung include University of Hong Kong & Yale University.

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Journal ArticleDOI

Local gapped subforest alignment and its application in finding RNA structural motifs.

TL;DR: It is proved that a special case of the local gapped subforest alignment problem is equivalent to a problem known in the literature as the local sequence-structure alignment problem (lssa) and the main algorithm is modified to obtain a much faster algorithm for lssa than the one previously proposed.
Journal ArticleDOI

Platform comparison for evaluation of ALK protein immunohistochemical expression, genomic copy number and hotspot mutation status in neuroblastomas.

TL;DR: D5F3 immunohistochemistry, single-color CISH and IT-PGM sequencing are suitable assays for evaluation of ALK status in future neuroblastoma clinical trials, and correlation with ALK genomic and hotspot mutational status revealed that the majority of D5F2 ALK-positive cases did not possess either ALK genomes or hotspot mutations.
Journal ArticleDOI

Cavity Matchings, Label Compressions, and Unrooted Evolutionary Trees

TL;DR: An algorithm for computing a maximum agreement subtree of two unrooted evolutionary trees that takes O(n1.5 log n) time for trees with unbounded degrees, matching the best known time complexity for the rooted case.
Posted Content

Predicting RNA Secondary Structures with Arbitrary Pseudoknots by Maximizing the Number of Stacking Pairs

TL;DR: This paper focuses on predicting RNA secondary structures with a maximum number of stacking pairs and obtains two approximation algorithms with worst-case approximation ratios of 1/2 and 1/3 for planar and general secondary structures, respectively.
Book ChapterDOI

The maximum agreement of two nested phylogenetic networks

TL;DR: It is proved that the general case of MASN is NP-hard already for two phylogenetic networks, but that the problem can be solved efficiently if the two given phylogenetics networks exhibit a nested structure.