 | 2008 |
| 17 |  | Bobbie-Jo M. Webb-Robertson,
Melissa M. Matzke,
Christopher S. Oehmen:
Dimension Reduction via Unsupervised Learning Yields Significant Computational Improvements for Support Vector Machine Based Protein Family Classification.
ICMLA 2008: 457-462 |
| 16 |  | Christopher Bystroff,
Bobbie-Jo M. Webb-Robertson:
Pairwise covariance adds little to secondary structure prediction but improves the prediction of non-canonical local structure.
BMC Bioinformatics 9: (2008) |
| 15 |  | 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) |
| 14 |  | 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) |
| 13 |  | 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 |
| 12 |  | William R. Cannon,
Bobbie-Jo M. Webb-Robertson:
Session Introduction.
Pacific Symposium on Biocomputing 2007: 403-408 |
| 11 |  | 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) |
| 10 |  | Bobbie-Jo M. Webb-Robertson,
William R. Cannon:
Current trends in computational inference from mass spectrometry-based proteomics.
Briefings in Bioinformatics 8(5): 304-317 (2007) |
| 9 |  | 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 |
| 8 |  | Bobbie-Jo M. Webb-Robertson,
William R. Cannon,
Joshua N. Adkins,
Deborah K. Gracio:
Session Introduction.
Pacific Symposium on Biocomputing 2006: 212-218 |
| 7 |  | 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 |
| 6 |  | Susan L. Havre,
Bobbie-Jo M. Webb-Robertson,
Anuj R. Shah,
Christian Posse,
Banu Gopalan,
Fred J. Brockman:
Bioinformatic Insights from Metagenomics through Visualization.
CSB 2005: 341-350 |
| 5 |  | Bobbie-Jo M. Webb-Robertson,
Susan L. Havre,
Deborah A. Payne:
A Bayesian Framework for SNP Identification.
Pacific Symposium on Biocomputing 2005 |
| 4 |  | Bobbie-Jo M. Webb-Robertson,
Christopher S. Oehmen,
Melissa M. Matzke:
SVM-BALSA: Remote homology detection based on Bayesian sequence alignment.
Computational Biology and Chemistry 29(6): 440-443 (2005) |
| 2004 |
| 3 |  | Susan L. Havre,
Mudita Singhal,
Deborah A. Payne,
Bobbie-Jo M. Webb-Robertson:
PQuad: Visualization of Predicted Peptides and Proteins.
IEEE Visualization 2004: 473-480 |
| 2 |  | Susan Havre,
Mudita Singhal,
Banu Gopalan,
Deborah A. Payne,
Kyle R. Klicker,
Gary Kiebel,
Ken Auberry,
Eric G. Stephan,
Bobbie-Jo M. Webb-Robertson,
Deborah K. Gracio:
Integrating Evolving Tools for Proteomics Research.
METMBS 2004: 307-313 |
| 1 |  | Bobbie-Jo M. Webb-Robertson,
Susan L. Havre:
Effective Dimension Reduction Using Sequential Projection Pursuit on Gene Expression Data for Cancer Classification.
METMBS 2004: 345-351 |