IN-SPIRE InfoVis 2004 Contest Entry. - 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 (INFOVIS, 2004)

Framework for Risk Analysis in Multimedia Environmental Systems: Modeling Individual Steps of a Risk Analysis Process. - Anuj R. Shah; Karl J. Castleton; Bonnie L. Hoopes (MSV/AMCS, 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)

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)

Enabling high-throughput data management for systems biology: The Bioinformatics Resource Manager. - Anuj R. Shah; Mudita Singhal; Kyle R. Klicker; Eric G. Stephan; H. Steven Wiley; Katrina M. Waters (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)

An Extensible, Scalable Architecture for Managing Bioinformatics Data and Analyses. - Anuj R. Shah; Mudita Singhal; Tara D. Gibson; Chandrika Sivaramakrishnan; Katrina M. Waters; Ian Gorton (eScience, 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)

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)

Increasing the Efficiency of Data Storage and Analysis Using Indexed Compression. - Nathaniel Beagley; Chad Scherrer; Yan Shi; Brian H. Clowers; William F. Danielson; Anuj R. Shah (eScience, 2009)

An Architecture for Real Time Data Acquisition and Online Signal Processing for High Throughput Tandem Mass Spectrometry. - Anuj R. Shah; Navdeep Jaitly; Nino Zuljevic; Matthew E. Monroe; Andrei Liyu; Ashoka D. Polpitiya; Joshua N. Adkins; Mikhail E. Belov; Gordon A. Anderson; Richard D. Smith; Ian Gorton (eScience, 2009)

Using support vector machine for improving protein-protein interaction prediction utilizing domain interactions. - Mudita Singhal; Anuj R. Shah; Joshua N. Adkins; Roslyn Brown (BCB, 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; et al. (Adv. Comput., 2010)

Machine learning based prediction for peptide drift times in ion mobility spectrometry. - Anuj R. Shah; Khushbu Agarwal; Erin S. Baker; Mudita Singhal; Anoop M. Mayampurath; Yehia M. Ibrahim; Lars J. Kangas; Matthew E. Monroe; Rui Zhao; Mikhail E. Belov; Gordon A. Anderson; Richard D. Smith (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)

MultiAlign: a multiple LC-MS analysis tool for targeted omics analysis. - 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; Gordon A. Anderson; et al. (BMC Bioinform., 2013)