Integrating Evolving Tools for Proteomics Research. - Susan Havre; Mudita Singhal; Banu Gopalan; Deborah A. Payne; Kyle R. Klicker; Gary Kiebel; Kenneth J. Auberry; Eric G. Stephan; Bobbie-Jo M. Webb-Robertson; Deborah K. Gracio (METMBS, 2004)

Effective Dimension Reduction Using Sequential Projection Pursuit on Gene Expression Data for Cancer Classification. - Bobbie-Jo M. Webb-Robertson; Susan L. Havre (METMBS, 2004)

PQuad: Visualization of Predicted Peptides and Proteins. - Susan L. Havre; Mudita Singhal; Deborah A. Payne; Bobbie-Jo M. Webb-Robertson (IEEE Visualization, 2004)

Bioinformatic Insights from Metagenomics through Visualization. - Susan L. Havre; Bobbie-Jo M. Webb-Robertson; Anuj R. Shah; Christian Posse; Banu Gopalan; Fred J. Brockman (CSB, 2005)

A Bayesian Framework for SNP Identification. - Bobbie-Jo M. Webb-Robertson; Susan L. Havre; Deborah A. Payne (Pacific Symposium on Biocomputing, 2005)

SVM-BALSA: Remote homology detection based on Bayesian sequence alignment. - Bobbie-Jo M. Webb-Robertson; Christopher S. Oehmen; Melissa M. Matzke (Comput. Biol. Chem., 2005)

Session Introduction. - Bobbie-Jo M. Webb-Robertson; William R. Cannon; Joshua N. Adkins; Deborah K. Gracio (Pacific Symposium on Biocomputing, 2006)

Analytics challenge - High-throughput visual analytics biological sciences: turning data into knowledge. - 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 (SC, 2006)

Diverse information integration and visualization. - Susan L. Havre; Anuj R. Shah; Christian Posse; Bobbie-Jo M. Webb-Robertson (Visualization and Data Analysis, 2006)

Support Vector Machine Classification of Probability Models and Peptide Features for Improved Peptide Identification from Shotgun Proteomics. - Bobbie-Jo M. Webb-Robertson; Christopher S. Oehmen; William R. Cannon (ICMLA, 2007)

Session Introduction. - William R. Cannon; Bobbie-Jo M. Webb-Robertson (Pacific Symposium on Biocomputing, 2007)

Current trends in computational inference from mass spectrometry-based proteomics. - Bobbie-Jo M. Webb-Robertson; William R. Cannon (Briefings Bioinform., 2007)

PQuad - a visual analysis platform for proteomic data exploration of microbial organisms. - Bobbie-Jo M. Webb-Robertson; Elena S. Peterson; Mudita Singhal; Kyle R. Klicker; Christopher S. Oehmen; Joshua N. Adkins; Susan L. Havre (Bioinform., 2007)

Integrating subcellular location for improving machine learning models of remote homology detection in eukaryotic organisms. - Anuj R. Shah; Christopher S. Oehmen; Jill Harper; Bobbie-Jo M. Webb-Robertson (Comput. Biol. Chem., 2007)

Dimension Reduction via Unsupervised Learning Yields Significant Computational Improvements for Support Vector Machine Based Protein Family Classification. - Bobbie-Jo M. Webb-Robertson; Melissa M. Matzke; Christopher S. Oehmen (ICMLA, 2008)

SVM-HUSTLE - an iterative semi-supervised machine learning approach for pairwise protein remote homology detection. - Anuj R. Shah; Christopher S. Oehmen; Bobbie-Jo M. Webb-Robertson (Bioinform., 2008)

Pairwise covariance adds little to secondary structure prediction but improves the prediction of non-canonical local structure. - Christopher Bystroff; Bobbie-Jo M. Webb-Robertson (BMC Bioinform., 2008)

A feature vector integration approach for a generalized support vector machine pairwise homology algorithm. - Bobbie-Jo M. Webb-Robertson; Christopher S. Oehmen; Anuj R. Shah (Comput. Biol. Chem., 2008)

Measuring Global Credibility with Application to Local Sequence Alignment. - Bobbie-Jo M. Webb-Robertson; Lee Ann McCue; Charles E. Lawrence (PLoS Comput. Biol., 2008)

A Bayesian Integration Model of High-Throughput Proteomics and Metabolomics Data for Improved Early Detection of Microbial Infections. - Bobbie-Jo M. Webb-Robertson; Lee Ann McCue; Nathaniel Beagley; Jason E. McDermott; David S. Wunschel; Susan M. Varnum; Jian Zhi Hu; Nancy G. Isern; Garry W. Buchko; Kathleen McAteer; Joel G. Pounds (Pacific Symposium on Biocomputing, 2009)

Applications in Data-Intensive Computing. - Anuj R. Shah; Joshua N. Adkins; Douglas J. Baxter; William R. Cannon; Daniel G. Chavarría-Miranda; Sutanay Choudhury; Ian Gorton; Deborah K. Gracio; Todd D. Halter; Navdeep Jaitly; John R. Johnson; Richard T. Kouzes; et al. (Adv. Comput., 2010)

VIBE 2.0: Visual Integration for Bayesian Evaluation. - Nathaniel Beagley; Kelly G. Stratton; Bobbie-Jo M. Webb-Robertson (Bioinform., 2010)

A support vector machine model for the prediction of proteotypic peptides for accurate mass and time proteomics. - Bobbie-Jo M. Webb-Robertson; William R. Cannon; Christopher S. Oehmen; Anuj R. Shah; Vidhya Gurumoorthi; Mary S. Lipton; Katrina M. Waters (Bioinform., 2010)

Physicochemical property distributions for accurate and rapid pairwise protein homology detection. - Bobbie-Jo M. Webb-Robertson; Kyle G. Ratuiste; Christopher S. Oehmen (BMC Bioinform., 2010)

Complex Biological Event Extraction from Full Text using Signatures of Linguistic and Semantic Features. - Liam R. McGrath; Kelly Domico; Courtney D. Corley; Bobbie-Jo M. Webb-Robertson (BioNLP@ACL (Shared Task), 2011)

Improved quality control processing of peptide-centric LC-MS proteomics data. - Melissa M. Matzke; Katrina M. Waters; Thomas O. Metz; Jon M. Jacobs; Amy C. Sims; Ralph S. Baric; Joel G. Pounds; Bobbie-Jo M. Webb-Robertson (Bioinform., 2011)

Assessing the quality of bioforensic signatures. - Landon H. Sego; Aimee E. Holmes; Luke J. Gosink; Bobbie-Jo M. Webb-Robertson; Helen W. Kreuzer; Richard M. Anderson; Alan J. Brothers; Courtney D. Corley; Mark R. Tardiff (ISI, 2013)

Specific mutations in H5N1 mainly impact the magnitude and velocity of the host response in mice. - Nicolas Tchitchek; Amie J. Eisfeld; Jennifer Tisoncik-Go; Laurence Josset; Lisa E. Gralinski; Christophe Bécavin; Susan C. Tilton; Bobbie-Jo M. Webb-Robertson; Martin T. Ferris; Allison L. Totura; Chengjun Li; Gabriele Neumann; et al. (BMC Syst. Biol., 2013)

Missing data in multi-omics integration: Recent advances through artificial intelligence. - Javier E. Flores; Daniel Claborne; Zachary D. Weller; Bobbie-Jo M. Webb-Robertson; Katrina M. Waters; Lisa M. Bramer (Frontiers Artif. Intell., 2023)