Research Topics
| Hon Nian ChuaSummaryCountry: Singapore Publications
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Detail Information
Publications
Using indirect protein interactions for the prediction of Gene Ontology functionsHon Nian Chua
School of Computing, National University of Singapore, Singapore, Singapore
BMC Bioinformatics 8:S8. 2007....
An efficient strategy for extensive integration of diverse biological data for protein function predictionHon Nian Chua
Graduate School for Integrative Sciences and Engineering, National University of Singapore, Singapore
Bioinformatics 23:3364-73. 2007..In the presence of cross-genome information, which is overwhelming for existing approaches, IWA makes even better predictions. We also demonstrate the significance of appropriate weighting strategies in data integration...
A probabilistic graph-theoretic approach to integrate multiple predictions for the protein-protein subnetwork prediction challengeHon Nian Chua
Data Mining Department, Institute for Infocomm Research, Singapore
Ann N Y Acad Sci 1158:224-33. 2009..This technique is then used to produce our entry for the protein-protein subnetwork prediction challenge...
Using indirect protein-protein interactions for protein complex predictionHon Nian Chua
Graduate School of Integrated Sciences, National University of Singapore, Singapore
J Bioinform Comput Biol 6:435-66. 2008..Since no other information except the original PPI network is used, our approach would be very useful for protein complex prediction, especially for prediction of novel protein complexes...
Complex discovery from weighted PPI networksGuimei Liu
School of Computing, National University of Singapore, Singapore and Institute for Infocomm Research, Singapore
Bioinformatics 25:1891-7. 2009..However, protein interaction data produced by high-throughput experiments are often associated with high false positive and false negative rates, which makes it difficult to predict complexes accurately...
Using indirect protein-protein interactions for protein complex predicationHon Nian Chua
Graduate School of Integrated Sciences, National University of Singapore, Singapore
Comput Syst Bioinformatics Conf 6:97-109. 2007..Since no any other information except the original PPI network is used, our approach would be very useful for protein complex prediction, especially for prediction of novel protein complexes...
Increasing the reliability of protein interactomesHon Nian Chua
Institute for Infocomm Research, 21 Heng Mui Keng Terrace, Singapore 119613, Singapore
Drug Discov Today 13:652-8. 2008..We review here computational techniques for assessing and improving the reliability of protein-protein interaction data from these high-throughput experiments...
Exploiting indirect neighbours and topological weight to predict protein function from protein-protein interactionsHon Nian Chua
Graduate School for Integrated Sciences and Engineering, National University of Singapore, Singapore
Bioinformatics 22:1623-30. 2006..Using leave-one-out cross validation, we compare the performance of our method against that of several other existing approaches and show that our method performs relatively well...
Increasing confidence of protein-protein interactomesJin Chen
National University of Singapore, Graduate School of Computing, Singapore
Genome Inform 17:284-97. 2006..We also present indices that are based on explicit motifs associated with true-positive protein interactions--e.g., "new interaction generality" (IG2) and "meso-scale motifs" (NeMoFinder)...
Supervised maximum-likelihood weighting of composite protein networks for complex predictionChern Han Yong
Graduate School for Integrative Sciences and Engineering, National University of Singapore, Singapore
BMC Syst Biol 6:S13. 2012..As a result, predicted complexes often do not match true complexes well, and many true complexes go undetected...
Decomposing PPI networks for complex discoveryGuimei Liu
School of Computing, National University of Singapore, Singapore
Proteome Sci 9:S15. 2011..As a result, predicted complexes often contain many spuriously included proteins, precluding them from matching true complexes...
