| Proteomic profiling of cerebrospinal fluid identifies biomarkers for amyotrophic lateral sclerosis S Ranganathan, E Williams, P Ganchev, V Gopalakrishnan, D Lacomis, ... Journal of neurochemistry 95 (5), 1461-1471, 2005 | 263 | 2005 |
| 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 | 127 | 2008 |
| A multiplexed serum biomarker immunoassay panel discriminates clinical lung cancer patients from high-risk individuals found to be cancer-free by CT screening WL Bigbee, V Gopalakrishnan, JL Weissfeld, DO Wilson, S Dacic, ... Journal of thoracic oncology 7 (4), 698-708, 2012 | 104 | 2012 |
| 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 |
| An overview and evaluation of recent machine learning imputation methods using cardiac imaging data Y Liu, V Gopalakrishnan Data 2 (1), 8, 2017 | 84 | 2017 |
| 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 |
| Protein Fold Recognition Using Segmentation Conditional Random Fields (SCRFs) Y Liu, J Carbonell, P Weigele, V Gopalakrishnan Journal of Computational Biology 13 (2), 394-406, 2006 | 55 | 2006 |
| Segmentation conditional random fields (SCRFs): A new approach for protein fold recognition Y Liu, J Carbonell, P Weigele, V Gopalakrishnan Research in Computational Molecular Biology: 9th Annual International …, 2005 | 55 | 2005 |
| Bayesian rule learning for biomedical data mining V Gopalakrishnan, JL Lustgarten, S Visweswaran, GF Cooper Bioinformatics 26 (5), 668-675, 2010 | 54 | 2010 |
| Lung cancer serum biomarker discovery using label-free liquid chromatography-tandem mass spectrometry X Zeng, BL Hood, T Zhao, TP Conrads, M Sun, V Gopalakrishnan, ... Journal of Thoracic Oncology 6 (4), 725-734, 2011 | 51 | 2011 |
| Comparison of probabilistic combination methods for protein secondary structure prediction Y Liu, J Carbonell, J Klein-Seetharaman, V Gopalakrishnan Bioinformatics 20 (17), 3099-3107, 2004 | 51 | 2004 |
| Evaluation of a 4‐protein serum biomarker panel—biglycan, annexin‐A 6, myeloperoxidase, and protein S 100‐A 9 (B‐AMP)—for the detection of esophageal adenocarcinoma AH Zaidi, V Gopalakrishnan, PM Kasi, X Zeng, U Malhotra, ... Cancer 120 (24), 3902-3913, 2014 | 49 | 2014 |
| Automatic annotation of protein motif function with Gene Ontology terms X Lu, C Zhai, V Gopalakrishnan, BG Buchanan BMC bioinformatics 5, 1-11, 2004 | 38 | 2004 |
| A computational framework for the detection of subcortical brain dysmaturation in neonatal MRI using 3D Convolutional Neural Networks R Ceschin, A Zahner, W Reynolds, J Gaesser, G Zuccoli, CW Lo, ... NeuroImage 178, 183-197, 2018 | 37 | 2018 |
| Induction of rules for biological macromolecule crystallization D Hennessy, V Gopalakrishnan, BG Buchanan, JM Rosenberg, ... Proceedings of the Second International Conference on Intelligent Systems …, 1994 | 33 | 1994 |
| Creating a pipeline of talent for informatics: STEM initiative for high school students in computer science, biology, and biomedical informatics J Dutta-Moscato, V Gopalakrishnan, MT Lotze, MJ Becich Journal of pathology informatics 5 (1), 12, 2014 | 29 | 2014 |
| Transfer learning of classification rules for biomarker discovery and verification from molecular profiling studies P Ganchev, D Malehorn, WL Bigbee, V Gopalakrishnan Journal of biomedical informatics 44, S17-S23, 2011 | 26 | 2011 |
| cMRI-BED: A novel informatics framework for cardiac MRI biomarker extraction and discovery applied to pediatric cardiomyopathy classification V Gopalakrishnan, PG Menon, S Madan Biomedical engineering online 14, 1-16, 2015 | 24 | 2015 |
