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Anuj R. Shah
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2010 – 2019
- 2013
- [j9]Brian L. LaMarche, Kevin L. Crowell, Navdeep Jaitly, Vladislav A. Petyuk
, Anuj R. Shah, Ashoka D. Polpitiya, John D. Sandoval, Gary R. Kiebel, Matthew E. Monroe, Stephen J. Callister, Thomas O. Metz
MultiAlign: a multiple LC-MS analysis tool for targeted omics analysis. BMC Bioinform. 14: 49 (2013) - 2010
- [j8]Anuj R. Shah, Joshua N. Adkins
Applications in Data-Intensive Computing. Adv. Comput. 79: 1-70 (2010) - [j7]Anuj R. Shah, Khushbu Agarwal, Erin S. Baker
Machine learning based prediction for peptide drift times in ion mobility spectrometry. Bioinform. 26(13): 1601-1607 (2010) - [j6]Bobbie-Jo M. Webb-Robertson
A support vector machine model for the prediction of proteotypic peptides for accurate mass and time proteomics. Bioinform. 26(13): 1677-1683 (2010) - [c9]Mudita Singhal, Anuj R. Shah, Joshua N. Adkins
Using support vector machine for improving protein-protein interaction prediction utilizing domain interactions. BCB 2010: 537-545
2000 – 2009
- 2009
- [c8]Nathaniel Beagley, Chad Scherrer, Yan Shi, Brian H. Clowers, William F. Danielson, Anuj R. Shah:
Increasing the Efficiency of Data Storage and Analysis Using Indexed Compression. eScience 2009: 66-71 - [c7]Anuj R. Shah, Navdeep Jaitly, Nino Zuljevic, Matthew E. Monroe, Andrei Liyu, Ashoka D. Polpitiya, Joshua N. Adkins
An Architecture for Real Time Data Acquisition and Online Signal Processing for High Throughput Tandem Mass Spectrometry. eScience 2009: 88-93 - 2008
- [j5]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. Bioinform. 24(6): 783-790 (2008) - [j4]Bobbie-Jo M. Webb-Robertson
A support vector machine model for the prediction of proteotypic peptides for accurate mass and time proteomics. Bioinform. 24(13): 1503-1509 (2008) - [j3]Bobbie-Jo M. Webb-Robertson
A feature vector integration approach for a generalized support vector machine pairwise homology algorithm. Comput. Biol. Chem. 32(6): 458-461 (2008) - [c6]Anuj R. Shah, Mudita Singhal, Tara D. Gibson, Chandrika Sivaramakrishnan, Katrina M. Waters
An Extensible, Scalable Architecture for Managing Bioinformatics Data and Analyses. eScience 2008: 190-197 - 2007
- [j2]Anuj R. Shah, Mudita Singhal, Kyle R. Klicker, Eric G. Stephan
Enabling high-throughput data management for systems biology: The Bioinformatics Resource Manager. Bioinform. 23(7): 906-909 (2007) - [j1]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. Comput. Biol. Chem. 31(2): 138-142 (2007) - 2006
- [c5]Christopher S. Oehmen, Lee Ann McCue
Analytics challenge - High-throughput visual analytics biological sciences: turning data into knowledge. SC 2006: 299 - [c4]Susan L. Havre, Anuj R. Shah, Christian Posse, Bobbie-Jo M. Webb-Robertson
Diverse information integration and visualization. Visualization and Data Analysis 2006: 60600M - 2005
- [c3]Susan L. Havre, Bobbie-Jo M. Webb-Robertson
Bioinformatic Insights from Metagenomics through Visualization. CSB 2005: 341-350 - 2004
- [c2]Pak Chung Wong, Elizabeth G. Hetzler, Christian Posse, Mark A. Whiting, Susan Havre, Nick Cramer, Anuj R. Shah, Mudita Singhal, Alan Turner, James J. Thomas:
IN-SPIRE InfoVis 2004 Contest Entry. INFOVIS 2004 - [c1]Anuj R. Shah, Karl J. Castleton, Bonnie L. Hoopes:
Framework for Risk Analysis in Multimedia Environmental Systems: Modeling Individual Steps of a Risk Analysis Process. MSV/AMCS 2004: 38-44
Coauthor Index
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