SplAdder: identification, quantification and testing of alternative splicing events from RNA-Seq data von Kahles, André, Ong, Cheng Soon, Zhong, Yi, Rätsch, Gunnar

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Support vector machines and kernels for computational biology von Ben-Hur, Asa, Ong, Cheng Soon, Sonnenburg, Sören, Schölkopf, Bernhard, Rätsch, Gunnar

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eQTLHap: a tool for comprehensive eQTL analysis considering haplotypic and genotypic effects von Al Bkhetan, Ziad, Chana, Gursharan, Soon Ong, Cheng, Goudey, Benjamin, Ramamohanarao, Kotagiri

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kWIP: The k-mer weighted inner product, a de novo estimator of genetic similarity von Murray, Kevin D, Webers, Christfried, Ong, Cheng Soon, Borevitz, Justin, Warthmann, Norman

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Protein function prediction via graph kernels von Borgwardt, Karsten M., Ong, Cheng Soon, Schönauer, Stefan, Vishwanathan, S. V. N., Smola, Alex J., Kriegel, Hans-Peter

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Generative embedding for model-based classification of fMRI data von Brodersen, Kay H, Schofield, Thomas M, Leff, Alexander P, Ong, Cheng Soon, Lomakina, Ekaterina I, Buhmann, Joachim M, Stephan, Klaas E

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The Balanced Accuracy and Its Posterior Distribution von Brodersen, Kay H, Cheng Soon Ong, Stephan, Klaas E, Buhmann, Joachim M

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mGene: accurate SVM-based gene finding with an application to nematode genomes von Schweikert, Gabriele, Zien, Alexander, Zeller, Georg, Behr, Jonas, Dieterich, Christoph, Ong, Cheng Soon, Philips, Petra, De Bona, Fabio, Hartmann, Lisa, Bohlen, Anja, Krüger, Nina, Sonnenburg, Sören, Rätsch, Gunnar

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Stability of bivariate GWAS biomarker detection von Bedő, Justin, Rawlinson, David, Goudey, Benjamin, Ong, Cheng Soon

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Combining active learning suggestions von Tran, Alasdair, Ong, Cheng Soon, Wolf, Christian

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Associating disease-related genetic variants in intergenic regions to the genes they impact von Macintyre, Geoff, Jimeno Yepes, Antonio, Ong, Cheng Soon, Verspoor, Karin

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Uncertainty quantification of the virial black hole mass with conformal prediction von Yong, Suk Yee, Ong, Cheng Soon

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Uncertainty quantification of the virial black hole mass with conformal prediction von Yong, Suk Yee, Ong, Cheng Soon

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Machine Learning for Biological Design von Blau, Tom, Chades, Iadine, Ong, Cheng Soon

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Wheel Defect Detection With Machine Learning von Krummenacher, Gabriel, Ong, Cheng Soon, Koller, Stefan, Kobayashi, Seijin, Buhmann, Joachim M.

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Adaptive experiments: Machine learning can help scientific discovery von Ong, Cheng Soon

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Learning SVM in Kreĭn Spaces von Loosli, Gaelle, Canu, Stephane, Ong, Cheng Soon

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The Binormal Assumption on Precision-Recall Curves von Brodersen, K H, Ong, C S, Stephan, K E, Buhmann, J M

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PALMA: mRNA to genome alignments using large margin algorithms von Schulze, Uta, Hepp, Bettina, Ong, Cheng Soon, Rätsch, Gunnar

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TPCNet : Representation learning for H  i mapping von Nguyen, Hiep, Tang, Haiyang, Alger, Matthew, Marchal, Antoine, Muller, Eric G M, Ong, Cheng Soon, McClure-Griffiths, N M

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