| 2008 |
|---|
| 8 | EE | Bobbie-Jo M. Webb-Robertson,
William R. Cannon,
Christopher S. Oehmen,
Anuj R. Shah,
Vidhya Gurumoorthi,
Mary S. Lipton,
Katrina M. Waters:
A support vector machine model for the prediction of proteotypic peptides for accurate mass and time proteomics.
Bioinformatics 24(13): 1503-1509 (2008) |
| 7 | EE | Anuj R. Shah,
Christopher S. Oehmen,
Bobbie-Jo M. Webb-Robertson:
SVM-HUSTLE - an iterative semi-supervised machine learning approach for pairwise protein remote homology detection.
Bioinformatics 24(6): 783-790 (2008) |
| 6 | EE | Bobbie-Jo M. Webb-Robertson,
Christopher S. Oehmen,
Anuj R. Shah:
A feature vector integration approach for a generalized support vector machine pairwise homology algorithm.
Computational Biology and Chemistry 32(6): 458-461 (2008) |
| 2007 |
|---|
| 5 | EE | Bobbie-Jo M. Webb-Robertson,
Elena S. Peterson,
Mudita Singhal,
Kyle R. Klicker,
Christopher S. Oehmen,
Joshua N. Adkins,
Susan L. Havre:
PQuad - a visual analysis platform for proteomic data exploration of microbial organisms.
Bioinformatics 23(13): 1705-1707 (2007) |
| 4 | EE | Anuj R. Shah,
Christopher S. Oehmen,
Jill Harper,
Bobbie-Jo M. Webb-Robertson:
Integrating subcellular location for improving machine learning models of remote homology detection in eukaryotic organisms.
Computational Biology and Chemistry 31(2): 138-142 (2007) |
| 2006 |
|---|
| 3 | EE | Christopher S. Oehmen,
Douglas J. Baxter,
Ryan W. Mooney,
Shaun O'Leary,
Tim Carlson:
Bandwidth challenge - High throughput feature-matching analysis of biological spectral data.
SC 2006: 243 |
| 2 | EE | Christopher S. Oehmen,
Lee Ann McCue,
Joshua N. Adkins,
Katrina M. Waters,
Tim Carlson,
William R. Cannon,
Bobbie-Jo M. Webb-Robertson,
Douglas J. Baxter,
Elena S. Peterson,
Mudita Singhal,
Anuj R. Shah,
Kyle R. Klicker:
Analytics challenge - High-throughput visual analytics biological sciences: turning data into knowledge.
SC 2006: 299 |
| 2005 |
|---|
| 1 | EE | Bobbie-Jo M. Webb-Robertson,
Christopher S. Oehmen,
Melissa Matzke:
SVM-BALSA: Remote homology detection based on Bayesian sequence alignment.
Computational Biology and Chemistry 29(6): 440-443 (2005) |
