William R. Cannon

According to our database, William R. Cannon authored at least 21 papers between 2003 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2019

Integrating machine learning and multiscale modeling - perspectives, challenges, and opportunities in the biological, biomedical, and behavioral sciences.

Mark S. Alber, Adrian Buganza Tepole, William R. Cannon, Suvranu De, Salvador Dura-Bernal, Krishna C. Garikipati, George E. Karniadakis, William W. Lytton, Paris Perdikaris, Linda R. Petzold, Ellen Kuhl

npj Digit. Medicine, 2019

2012

pGraph: Efficient Parallel Construction of Large-Scale Protein Sequence Homology Graphs.

Changjun Wu, Ananth Kalyanaraman, William R. Cannon

IEEE Trans. Parallel Distributed Syst., 2012

Proteotyping of Microbial Communities by Optimization of Tandem Mass Spectrometry Data Interpretation.

Alys Hugo, Douglas J. Baxter, William R. Cannon, Ananth Kalyanaraman, Gaurav Ramesh Kulkarni, Stephen J. Callister

Proceedings of the Biocomputing 2012: Proceedings of the Pacific Symposium, 2012

2011

MapReduce implementation of a hybrid spectral library-database search method for large-scale peptide identification.

Ananth Kalyanaraman, William R. Cannon, Benjamin Latt, Douglas J. Baxter

Bioinform., 2011

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

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, Matthew C. Macduff, Andrès Márquez, Matthew E. Monroe, Christopher S. Oehmen, William A. Pike, Chad Scherrer, Oreste Villa, Bobbie-Jo M. Webb-Robertson, Paul D. Whitney, Nino Zuljevic

Adv. Comput., 2010

A Scalable Parallel Algorithm for Large-Scale Protein Sequence Homology Detection.

Changjun Wu, Ananth Kalyanaraman, William R. Cannon

Proceedings of the 39th International Conference on Parallel Processing, 2010

2009

An analysis pipeline for the inference of protein-protein interaction networks.

Ronald C. Taylor, Mudita Singhal, Don Simone Daly, Jason M. Gilmore, William R. Cannon, Kelly Domico, Amanda M. White, Deanna L. Auberry, Kenneth J. Auberry, Brian Hooker, Gregory B. Hurst, Jason E. McDermott, W. Hayes McDonald, Dale Pelletier, Denise Schmoyer, H. Steven Wiley

Int. J. Data Min. Bioinform., 2009

Statistically appraising process quality of affinity isolation experiments.

Julia L. Sharp, John J. Borkowski, Denise Schmoyer, Don Simone Daly, Samuel O. Purvine, William R. Cannon, Gregory B. Hurst

Comput. Stat. Data Anal., 2009

A Scalable Parallel Approach for Peptide Identification from Large-Scale Mass Spectrometry Data.

Gaurav Ramesh Kulkarni, Ananth Kalyanaraman, William R. Cannon, Douglas J. Baxter

Proceedings of the ICPPW 2009, 2009

2007

Current trends in computational inference from mass spectrometry-based proteomics.

Bobbie-Jo M. Webb-Robertson, William R. Cannon

Briefings Bioinform., 2007

Session Introduction.

William R. Cannon, Bobbie-Jo M. Webb-Robertson

Proceedings of the Biocomputing 2007, 2007

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

Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007

SEBINI-CABIN: An Analysis Pipeline for Biological Network Inference, with a Case Study in Protein-Protein Interaction Network Reconstruction.

Ronald C. Taylor, Mudita Singhal, Don Simone Daly, Kelly Domico, Amanda M. White, Deanna L. Auberry, Kenneth J. Auberry, Brian Hooker, Gregory B. Hurst, Jason E. McDermott, W. Hayes McDonald, Dale Pelletier, Denise Schmoyer, William R. Cannon

Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007

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

Proceedings of the ACM/IEEE SC2006 Conference on High Performance Networking and Computing, 2006

Session Introduction.

Bobbie-Jo M. Webb-Robertson, William R. Cannon, Joshua N. Adkins, Deborah K. Gracio

Proceedings of the Biocomputing 2006, 2006

2005

Peptide identification via constrained multi-objective optimization: Pareto-based genetic algorithms.

Joël M. Malard, Alejandro Heredia-Langner, William R. Cannon, Ryan W. Mooney, Douglas J. Baxter

Concurr. Comput. Pract. Exp., 2005

2004

Sequence optimization as an alternative to de novo analysis of tandem mass spectrometry data.

Alejandro Heredia-Langner, William R. Cannon, Kenneth D. Jarman, Kristin H. Jarman

Bioinform., 2004

De Novo Analysis of Tandem Mass Spectrometry Data as a Non-Deterministic Optimization Problem.

Alejandro Heredia-Langner, William R. Cannon, Kenneth D. Jarman, Kristin H. Jarman

Proceedings of the International Conference on Mathematics and Engineering Techniques in Medicine and Biological Scienes, 2004

Constrained De Novo Peptide Identification via Multi-Objective Optimization.

Joël M. Malard, Alejandro Heredia-Langner, Douglas J. Baxter, Kristin H. Jarman, William R. Cannon

Proceedings of the 18th International Parallel and Distributed Processing Symposium (IPDPS 2004), 2004

2003

A Model of Random Sequences for de novo Peptide Sequencing.

Kenneth D. Jarman, William R. Cannon, Kristin H. Jarman, Alejandro Heredia-Langner

Proceedings of the 3rd IEEE International Symposium on BioInformatics and BioEngineering (BIBE 2003), 2003