User:Rob Smith: Difference between revisions
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==Publications== | ==Publications== | ||
#Smith, R., Ventura, D., and Prince, J.T.: Label-Free, ID-Free, Parameter-Free Peak Picking and Feature Selection for LC-MS Data, 61st Annual Conference of the American Society for Mass Spectrometry, Minneapolis, MN, June 2013 | |||
#Coutu, B.G., Alexander, K.L., Anthonymuthu, T.S., Smith, R., Hansen, M. and Prince, J.T.: Robust Lipid Fragmentation Modelling to Identify Global Lipid Changes During Epithelial-Mesenchymal Transition (EMT), 61st Annual Conference of the American Society for Mass Spectrometry, Minneapolis, MN, June 2013 | |||
# | #Smith, R., Ventura, D., and Prince, J.T.: Novel Algorithms and the Benefits of Comparative Validation, Bioinformatics, 2013 | ||
# | #Smith, R., and Ventura, D.: A General Model for Continuous Noninvasive Pulmonary Artery Pressure Estimation, Computers in Biology and Medicine, 2013 | ||
#Smith, R., Williamson, R., Ventura, D., and Prince, J.T.: Rubabel: Wrapping OpenBabel with Ruby, Journal of Cheminformatics, 2013 | |||
# | #Smith, R., Dennis, A., and Ventura, D.: Automatic Composition from Non-musical Inspiration Sources, Proceedings of the Third International Conference on Computational Creativity, 160–164, 2012. | ||
#Smith, R.: A General Model for Continuous Noninvasive Pulmonary Artery Pressure Estimation, MS Thesis, Brigham Young University, 2011 | |||
#Automatic Composition from Non-musical Inspiration Sources | |||
Latest revision as of 08:41, 17 June 2013
Contact Info
- Rob Smith, Brigham Young University, Department of Computer Science, Provo, UT 84602
- Email me through OpenWetWare
I work in the Machine Learning Lab in the Computer Science Department at Brigham Young University. I am also an honorary member of the Prince lab at BYU, giving algorithmic insight on quantitation problems.
Education
- 2015 (expected), PhD, BYU, CS with emphasis in Bioinformatics and Computational Biology
- 2012, MS, BYU, CS
- 2007, BS, University of MD, Baltimore County, CS
Research interests
My research focuses on computational mass spectrometry, a term I coined to refer to the algorithmic aspects of interpreting mass spectrometry data. Currently my focus is on algorithms for high throughput:
- Direct infusion (shotgun) lipidomics quantitation
- LC/MS lipidomics quantitation
- Proteomics quantitation
- Lipidomics / proteomics registration
- Lipidomics / proteomics case/control differentiation
- Lipid labelling
Publications
- Smith, R., Ventura, D., and Prince, J.T.: Label-Free, ID-Free, Parameter-Free Peak Picking and Feature Selection for LC-MS Data, 61st Annual Conference of the American Society for Mass Spectrometry, Minneapolis, MN, June 2013
- Coutu, B.G., Alexander, K.L., Anthonymuthu, T.S., Smith, R., Hansen, M. and Prince, J.T.: Robust Lipid Fragmentation Modelling to Identify Global Lipid Changes During Epithelial-Mesenchymal Transition (EMT), 61st Annual Conference of the American Society for Mass Spectrometry, Minneapolis, MN, June 2013
- Smith, R., Ventura, D., and Prince, J.T.: Novel Algorithms and the Benefits of Comparative Validation, Bioinformatics, 2013
- Smith, R., and Ventura, D.: A General Model for Continuous Noninvasive Pulmonary Artery Pressure Estimation, Computers in Biology and Medicine, 2013
- Smith, R., Williamson, R., Ventura, D., and Prince, J.T.: Rubabel: Wrapping OpenBabel with Ruby, Journal of Cheminformatics, 2013
- Smith, R., Dennis, A., and Ventura, D.: Automatic Composition from Non-musical Inspiration Sources, Proceedings of the Third International Conference on Computational Creativity, 160–164, 2012.
- Smith, R.: A General Model for Continuous Noninvasive Pulmonary Artery Pressure Estimation, MS Thesis, Brigham Young University, 2011
