Brian King
Brian King
Associate Professor of Computer Science, Bucknell University
Verified email at - Homepage
Cited by
Cited by
ngLOC: an n-gram-based Bayesian method for estimating the subcellular proteomes of eukaryotes
BR King, C Guda
Genome biology 8 (5), 1-17, 2007
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), 1-7, 2012
Measurements of differential cross sections of top quark pair production in association with jets in pp collisions at s = 13 TeV …
M Aaboud, G Aad, B Abbott, B Abeloos, SH Abidi, OS AbouZeid, ...
Journal of High Energy Physics 2018 (10), 1-58, 2018
Mining for class-specific motifs in protein sequence classification
SM Srinivasan, S Vural, BR King, C Guda
BMC bioinformatics 14 (1), 1-14, 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
Teaching data mining in the era of big data
BR King, A Satyanarayana
120th ASEE Annual Conference & Exposition, 2013
Semi-supervised learning for classification of protein sequence data
BR King, C Guda
Scientific programming 16 (1), 5-29, 2008
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), 1-12, 2014
Estimation of subcellular proteomes in bacterial species
BR King, L Latham, C Guda
The Open Applied Informatics Journal 3 (1), 2009
Time series prediction using deep echo state networks
T Kim, BR King
Neural Computing and Applications 32 (23), 17769-17787, 2020
Predicting protein contact maps by bagging decision trees
C Ren, BR King
Proceedings of the 5th ACM Conference on Bioinformatics, Computational …, 2014
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
Protein sequence classification with Bayesian supervised and semi-supervised learned classifiers
BR King
State University of New York at Albany, 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), 1-13, 2019
Identifying Scanpath Trends using a Frequent Trajectory Pattern Mining Approach
BR King, V Troiani
Journal of Vision 19 (10), 307a-307a, 2019
Collaborating on Machine Reading: Training Algorithms to Read Complex Collections
CM Pirmann, BR King, B Acharya, KM Faull
Using Machine Learning to Predict the Health of HIV-Infected Patients
CL Cole, BR King
Proceedings of the International Conference on Bioinformatics, Computational …, 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
Biological data mining
MJ Zaki, N Ramakrishnan, S Parthasarathy
Scientific Programming 16 (1), 3-3, 2008
Training Algorithms to Read Complex Collections: Handwriting Classification for Improved HTR Models
B Acharya, K Faull, B King, C PIRMANN
DH2020, 0
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