ARCHIVE Snapshot of the Rätsch lab website (Tübingen, then New York) as of February 2016: preserved, not maintained. The group today: bmi.inf.ethz.ch
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Publications of Cheng Soon Ong

2011 Zhong, Y, Chang, X, Cao, X, Zhang, Y, and et al (2011).
Comparative Proteogenomic Analysis of the Leptospira interrogans Virulence Attenuated Strain IPAV against the Pathogenic Strain 56601
Cell Res.
2010 Zhao, W, Zhong, Y, Yuan, H, Wang, J, and et al (2010).
Complete genome sequence of the rifamycin SV-producing Amycolatopsis mediterranei U32 revealed its genetic characteristics in phylogeny and metabolism
Cell Res.
Lv, L, Sun, Q, Fan, X, zhong, Y, and et al (2010).
Mycobacterial MazG is a novel NTP pyrophosphohydrolase involved in oxidative stress response
J Biol Chem.
2009 Yao, Y, Xie, Y, Perace, D, Zhong, Y, and et al (2009).
The type III secretion system is involved in the invasion and intracellular survival of Escherichia coli K1 in human brain microvascular endothelial cells
FEMS Microbiol Lett.
Schweikert, G, Behr, J, Zien, A, Zeller, G, Ong, CS, Sonnenburg, S, and Rätsch, G (2009).
mGene.web: a web service for accurate computational gene finding
Nucleic Acids Research, 37(Web Server issue):W312–W316.
Online access Printable file
Schweikert, G, Zien, A, Zeller, G, Behr, J, Dieterich, C, Ong, CS, Philips, P, De Bona, F, Hartmann, L, Bohlen, A, Krüger, N, Sonnenburg, S, and Rätsch, G (2009).
mGene: Accurate SVM-Based Gene Finding with an Application to Nematode Genomes
Genome Research, 19:2133-2143.
Online access Supplementary website Printable file
2008 Zhu, Y, Li, Q, Wang, L, Zhong, Y, and et al (2008).
Gene expression profiling-based in silico approach to identify potential vaccine candidates and drug targets against B. pertussis and B. parapertussis
OMICS.
Ben-Hur, A, Ong, CS, Sonnenburg, S, Schölkopf, B, and Rätsch, G (2008).
Support Vector Machines and Kernels for Computational Biology
PLoS Computational Biology, 4(10):e1000173.
Online access Printable file
Ong, CS and Zien, A (2008).
An Automated Combination of Kernels for Predicting Protein Subcellular Localization
In: Proceedings of the 8th Workshop on Algorithms in Bioinformatics (WABI), pp. 186-179, Springer. Lecture Notes in Bioinformatics.
Online access Printable file
2007 Schulze, U, Hepp, B, Ong, CS, and Rätsch, G (2007).
PALMA: mRNA to Genome Alignments using Large Margin Algorithms
Bioinformatics, 23(15):1892-1900.
Online access Printable file
Sonnenburg, S, Braun, ML, Ong, CS, Bengio, S, Bottou, L, Holmes, G, LeCun, Y, Müller, K, Pereira, F, Rasmussen, CE, Rätsch, G, Schölkopf, B, Smola, A, Vincent, P, Weston, J, and Williamson, RC (2007).
The Need for Open Source Software in Machine Learning
Journal of Machine Learning Research, 8:2443-2466.
Online access Printable file
Zien, A, De Bona, F, and Ong, CS (2007).
Training and Approximation of a Primal Multiclass Support Vector Machine
In: 12th International Conference on Applied Stochastic Models and Data Analysis (ASMDA).
Online access Printable file
Zien, A and Ong, CS (2007).
Multiclass Multiple Kernel Learning
In: Proceedings of the 24th International Conference on Machine Learning (ICML), pp. 1191-1198, New York, NY, USA, ACM Press. Online access
2006 Rätsch, G, Hepp, B, Schulze, U, and Ong, CS (2006).
PALMA: Perfect Alignments using Large Margin Algorithms
In: German Conference on Bioinformatics, pp. 104-113, Berlin,Heidelberg, Springer Verlag. LNCS.
Online access Printable file
Zien, A, Ong, CS, and Rätsch, G (2006).
Towards the Inference of Graphs on Ordered Vertices
Max Planck Institute for biological Cybernetics, Research Note(150), Tübingen, Germany.
Online access Printable file
2005 Canu, S, Ong, CS, and Mary, X (2005).
Splines with Non Positive Kernels
In: 5th International ISAAC Congress.
Ong, CS, Smola, AJ, and Williamson, RC (2005).
Learning the Kernel with Hyperkernels
Journal of Machine Learning Research, 6:1043–1071.
Borgwardt, KM, Ong, CS, Sch\"onauer, S, Vishwanathan, S, Smola, AJ, and Kriegel, H (2005).
Protein Function Prediction via Graph Kernels
In: Proceedings of the International Conference on Intelligent Systems for Molecular Biology.
2004 Ong, CS, Mary, X, Canu, S, and Smola, AJ (2004).
Learning with Non-Positive Kernels
In: International Conference on Machine Learning, pp. 639–646.
2003 Ong, CS and Smola, AJ (2003).
Machine Learning with Hyperkernels
In: International Conference of Machine Learning, pp. 568–575.
Ong, CS, Smola, AJ, and Williamson, RC (2003).
Hyperkernels
In: Advances in Neural Information Processing Systems 15, pp. 495–502.
Jeong, D, Kim, Y, Cho, S, and Shin, H (2003).
A Study on Rainfall-Runoff Models for Improving Ensemble Streamflow Prediction: 1. Rainfall-runoff Models Using Artificial Neural Networks
Journal of the Korean Society of Civil Engineers, 23(6B):521-530.
2001 Wong, FW, Supian, AS, Ismail, AF, Lai, WK, and Ong, CS (2001).
Enhanced User Authentication through Typing Biometrics with Artificial Neural Networks and K-Nearest Neighbor Algorithm
In: Proceedings of the 35th Asilomar Conference on Signals, Systems & Computers.
2000 Tai, S, Ong, C, and Abdullah, NA (2000).
On Designing an Automated Malaysian Stemmer for the Malay Language
In: Proceedings of the Fifth International Workshop on Information Retrieval with Asian Languages.
Ong, CS and Lai, WK (2000).
Enhanced Password Authentication Through Typing Biometrics with K-Means Clustering Algorithm
In: World Automation Congress.
Ong, CS, Wong, F, and Lai, WK (2000).
A High Resolution and Accurate Pentium Based Timer
In: National Real Time Technology and Applications Symposium, Malaysia.
Ong, CS (2000).
Knowledge Discovery in Databases: An Information Retrieval Perspective
Malaysian Journal of Computer Science, 13(2).
1999 Maisuria, L, Ong, CS, and Lai, W (1999).
A Comparison of Artificial Neural Networks and Cluster Analysis for Typing Biometrics Authentication
In: International Joint Conference on Neural Networks.