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Learning Peptide-Spectrum Alignment Models for Tandem Mass Spectrometry.

, , and . UAI, page 320-329. AUAI Press, (2014)

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Guest Editors' Introduction to the Special Issue: Machine Learning for Bioinformatics - Part 1., , and . IEEE/ACM Trans. Comput. Biology Bioinform., 2 (2): 81-82 (2005)Guest Editor's Introduction to the Special Issue: Machine Learning for Bioinformatics-Part 2., , and . IEEE/ACM Trans. Comput. Biology Bioinform., 2 (3): 177-178 (2005)Kernels for gene regulatory regions., , and . NIPS, page 1401-1408. (2005)Estimating relative abundances of proteins from shotgun proteomics data., , , , , and . BMC Bioinformatics, (2012)Large-scale prediction of protein-protein interactions from structures., , , and . BMC Bioinformatics, (2010)Using machine learning to speed up manual image annotation: application to a 3D imaging protocol for measuring single cell gene expression in the developing C. elegans embryo., , , and . BMC Bioinformatics, (2010)A cross-validation scheme for machine learning algorithms in shotgun proteomics., , and . BMC Bioinformatics, 13 (S-16): S3 (2012)Improved similarity scores for comparing motifs., , , , and . Bioinformatics, 27 (12): 1603-1609 (2011)Mismatch string kernels for discriminative protein classification., , , , and . Bioinformatics, 20 (4): 467-476 (2004)DNA sequence+shape kernel enables alignment-free modeling of transcription factor binding., , , and . Bioinformatics, 33 (19): 3003-3010 (2017)