| Discovery and verification of amyotrophic lateral sclerosis biomarkers by proteomics H Ryberg, J An, S Darko, JL Lustgarten, M Jaffa, V Gopalakrishnan, ... Muscle & nerve 42 (1), 104-111, 2010 | 150 | 2010 |
| Improving classification performance with discretization on biomedical datasets JL Lustgarten, V Gopalakrishnan, H Grover, S Visweswaran AMIA annual symposium proceedings 2008, 445, 2008 | 128 | 2008 |
| Measuring stability of feature selection in biomedical datasets JL Lustgarten, V Gopalakrishnan, S Visweswaran AMIA annual symposium proceedings 2009, 406, 2009 | 101 | 2009 |
| A metaproteomic approach to study human-microbial ecosystems at the mucosal luminal interface X Li, J LeBlanc, A Truong, R Vuthoori, SS Chen, JL Lustgarten, B Roth, ... PloS one 6 (11), e26542, 2011 | 92 | 2011 |
| Alefacept for severe alopecia areata: a randomized, double-blind, placebo-controlled study BE Strober, K Menon, A McMichael, M Hordinsky, G Krueger, J Panko, ... Archives of dermatology 145 (11), 1262-1266, 2009 | 62 | 2009 |
| Application of an efficient Bayesian discretization method to biomedical data JL Lustgarten, S Visweswaran, V Gopalakrishnan, GF Cooper BMC bioinformatics 12, 1-15, 2011 | 59 | 2011 |
| Bayesian rule learning for biomedical data mining V Gopalakrishnan, JL Lustgarten, S Visweswaran, GF Cooper Bioinformatics 26 (5), 668-675, 2010 | 54 | 2010 |
| Veterinary informatics: forging the future between veterinary medicine, human medicine, and One Health initiatives—a joint paper by the Association for Veterinary Informatics … JL Lustgarten, A Zehnder, W Shipman, E Gancher, TL Webb JAMIA open 3 (2), 306-317, 2020 | 36 | 2020 |
| EPO-KB: a searchable knowledge base of biomarker to protein links JL Lustgarten, C Kimmel, H Ryberg, W Hogan Bioinformatics 24 (11), 1418-1419, 2008 | 36 | 2008 |
| Distinguishing historical from current problems in clinical reports–which textual features help? DL Mowery, H Harkema, J Dowling, J Lustgarten, W Chapman Proceedings of the BioNLP 2009 Workshop, 10-18, 2009 | 19 | 2009 |
| A bayesian rule generation framework for'omic'biomedical data analysis JL Lustgarten University of Pittsburgh, 2009 | 11 | 2009 |
| Learning parsimonious classification rules from gene expression data using bayesian networks with local structure JL Lustgarten, JB Balasubramanian, S Visweswaran, V Gopalakrishnan Data 2 (1), 5, 2017 | 10 | 2017 |
| Knowledge-based variable selection for learning rules from proteomic data JL Lustgarten, S Visweswaran, RP Bowser, WR Hogan, ... BMC bioinformatics 10, 1-7, 2009 | 9 | 2009 |
| An Evaluation of Discretization Methods for Learning Rules from Biomedical Datasets. JL Lustgarten, S Visweswaran, H Grover, V Gopalakrishnan BIOCOMP, 527-532, 2008 | 7 | 2008 |
| PATH45 Cytoskeletal and inflammatory protein biomarkers for amyotrophic lateral sclerosis J Ganesalingam, D Lacomis, J Lustgarten, CE Shaw, R Bowser, J An Journal of Neurology, Neurosurgery & Psychiatry 81 (11), e20-e20, 2010 | 5 | 2010 |
| Pityriasis rubra pilaris and arthritis B Strober, JL Lustgarten, K Menon, S Reddy JOURNAL OF THE AMERICAN ACADEMY OF DERMATOLOGY 60 (3), AB164-AB164, 2009 | 3 | 2009 |
| 1220. Impact of mandatory infectious diseases consultation on the use of core measures and mortality in Staphylococcus aureus bacteremia (SAB) at an academic medical center E Gancher, G Maslak, J Lustgarten, S Schultz, M Ingilizova Open Forum Infectious Diseases 5 (Suppl 1), S370, 2018 | 1 | 2018 |
| Using a novel resource to decrease proteomic biomarker identification time. JL Lustgarten, S Visweswaran, H Grover, CP Kimmel, H Ryberg, ... AMIA... Annual Symposium proceedings. AMIA Symposium, 1033-1033, 2008 | 1 | 2008 |
| Improving a Knowledge Base for Use in Proteomic Data Analysis JL Lustgarten, V Gopalakrishnan, WR Hogan, S Visweswaran | | |
| Identifying Interacting Environmental Factor–Gene Pairs C Kimmel, J Lustgarten, AKI Wong, S Visweswaran | | |
