| ngLOC: an n-gram-based Bayesian method for estimating the subcellular proteomes of eukaryotes BR King, C Guda Genome biology 8, 1-17, 2007 | 112 | 2007 |
| Time series prediction using deep echo state networks T Kim, BR King Neural Computing and Applications 32 (23), 17769-17787, 2020 | 67 | 2020 |
| ngLOC: software and web server for predicting protein subcellular localization in prokaryotes and eukaryotes BR King, S Vural, S Pandey, A Barteau, C Guda BMC research notes 5, 1-7, 2012 | 51 | 2012 |
| Mining for class-specific motifs in protein sequence classification SM Srinivasan, S Vural, BR King, C Guda BMC bioinformatics 14, 1-14, 2013 | 28 | 2013 |
| A top-down approach to infer and compare domain-domain interactions across eight model organisms C Guda, BR King, LR Pal, P Guda PLoS One 4 (3), e5096, 2009 | 19 | 2009 |
| Teaching data mining in the era of big data BR King, A Satyanarayana 2013 ASEE Annual Conference & Exposition, 23.1140. 1-23.1140. 22, 2013 | 14 | 2013 |
| Application of discrete Fourier inter-coefficient difference for assessing genetic sequence similarity BR King, M Aburdene, A Thompson, Z Warres EURASIP Journal on Bioinformatics and Systems Biology 2014, 1-12, 2014 | 13 | 2014 |
| Semi-supervised learning for classification of protein sequence data BR King, C Guda Scientific Programming 16 (1), 5-29, 2008 | 11 | 2008 |
| Within-task variability on standardized language tests predicts autism spectrum disorder: a pilot study of the Response Dispersion Index AE Hare-Harris, MW Mitchel, SM Myers, AD Mitchel, BR King, BG Ruocco, ... Journal of neurodevelopmental disorders 11, 1-13, 2019 | 4 | 2019 |
| Node-oriented workflow (now): A command template workflow management tool for high throughput data analysis pipelines EB Lipsky, BR King, G Tromp Journal of Data Mining in Genomics & Proteomics 5 (2), 2014 | 4 | 2014 |
| Estimation of subcellular proteomes in bacterial species BR King, L Latham, C Guda The Open Applied Informatics Journal 3 (1), 2009 | 4 | 2009 |
| Predicting protein contact maps by bagging decision trees C Ren, BR King Proceedings of the 5th ACM Conference on Bioinformatics, Computational …, 2014 | 3 | 2014 |
| Protein sequence classification with Bayesian supervised and semi-supervised learned classifiers BR King State University of New York at Albany, 2008 | 3 | 2008 |
| Comparing finite sequences of discrete events with non-uniform time intervals A Murph, A Flynt, BR King Sequential Analysis 40 (3), 291-313, 2021 | | 2021 |
| Comparing Finite Sequences of Discrete Events with Non-Uniform Time Intervals A Flynt, B King, A Murph | | 2021 |
| Identifying Scanpath Trends using a Frequent Trajectory Pattern Mining Approach BR King, V Troiani Journal of Vision 19 (10), 307a-307a, 2019 | | 2019 |
| Collaborating on Machine Reading: Training Algorithms to Read Complex Collections CM Pirmann, BR King, B Acharya, KM Faull | | 2019 |
| Using Machine Learning to Predict the Health of HIV-Infected Patients CL Cole, BR King Proceedings of the International Conference on Bioinformatics, Computational …, 2013 | | 2013 |
| ngPhylo: N-Gram Modeled Proteins with Substitution Matrices for Phylogenetic Analysis B Hofmeister, BR King Proceedings of the International Conference on Bioinformatics, Computational …, 2013 | | 2013 |
| Biological data mining MJ Zaki, N Ramakrishnan, S Parthasarathy Scientific Programming 16 (1), 3-3, 2008 | | 2008 |
