See-Kiong Ng
See-Kiong Ng
Institute of Data Science and School of Computing, National University of Singapore
Verified email at - Homepage
Cited by
Cited by
MAD-GAN: Multivariate anomaly detection for time series data with generative adversarial networks
D Li, D Chen, B Jin, L Shi, J Goh, SK Ng
International conference on artificial neural networks, 703-716, 2019
A core-attachment based method to detect protein complexes in PPI networks
M Wu, X Li, CK Kwoh, SK Ng
BMC bioinformatics 10, 1-16, 2009
Computational approaches for detecting protein complexes from protein interaction networks: a survey
X Li, M Wu, CK Kwoh, SK Ng
BMC genomics 11, 1-19, 2010
Anomaly detection with generative adversarial networks for multivariate time series
D Li, D Chen, J Goh, S Ng
arXiv preprint arXiv:1809.04758, 2018
Gptscore: Evaluate as you desire
J Fu, SK Ng, Z Jiang, P Liu
arXiv preprint arXiv:2302.04166, 2023
Integrative approach for computationally inferring protein domain interactions
SK Ng, Z Zhang, SH Tan
Proceedings of the 2003 ACM symposium on Applied computing, 115-121, 2003
Positive-unlabeled learning for disease gene identification
P Yang, XL Li, JP Mei, CK Kwoh, SK Ng
Bioinformatics 28 (20), 2640-2647, 2012
Toward routine automatic pathway discovery from on-line scientific text abstracts
SK Ng, M Wong
Genome Informatics 10, 104-112, 1999
InterDom: a database of putative interacting protein domains for validating predicted protein interactions and complexes
SK Ng, Z Zhang, SH Tan, K Lin
Nucleic acids research 31 (1), 251-254, 2003
Interaction graph mining for protein complexes using local clique merging
XL Li, CS Foo, SH Tan, SK Ng
Genome Informatics 16 (2), 260-269, 2005
Discovery of significant rules for classifying cancer diagnosis data
J Li, H Liu, SK Ng, L Wong
Bioinformatics-Oxford 19 (2), 93-102, 2003
Nemofinder: Dissecting genome-wide protein-protein interactions with meso-scale network motifs
J Chen, W Hsu, ML Lee, SK Ng
Proceedings of the 12th ACM SIGKDD international conference on Knowledge …, 2006
Positive unlabeled learning for data stream classification
XL Li, PS Yu, B Liu, SK Ng
Proceedings of the 2009 SIAM international conference on data mining, 259-270, 2009
Toward fully automated genotyping: genotyping microsatellite markers by deconvolution.
MW Perlin, G Lancia, SK Ng
American journal of human genetics 57 (5), 1199, 1995
Integrated oversampling for imbalanced time series classification
H Cao, XL Li, DYK Woon, SK Ng
IEEE Transactions on Knowledge and Data Engineering 25 (12), 2809-2822, 2013
Discovering protein complexes in dense reliable neighborhoods of protein interaction networks
XL Li, CS Foo, SK Ng
Computational Systems Bioinformatics: (Volume 6), 157-168, 2007
Positive unlabeled learning for time series classification
MN Nguyen, XL Li, SK Ng
Twenty-Second International Joint Conference on Artificial Intelligence, 2011
Intelligent fault diagnosis under varying working conditions based on domain adaptive convolutional neural networks
B Zhang, W Li, XL Li, SK Ng
Ieee Access 6, 66367-66384, 2018
Ensemble positive unlabeled learning for disease gene identification
P Yang, X Li, HN Chua, CK Kwoh, SK Ng
PloS one 9 (5), e97079, 2014
Increasing confidence of protein interactomes using network topological metrics
J Chen, W Hsu, ML Lee, SK Ng
Bioinformatics 22 (16), 1998-2004, 2006
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