Novel hybrid hierarchical-K-means clustering method (HK-means) for microarray analysis B Chen, PC Tai, R Harrison, Y Pan 2005 IEEE computational systems bioinformatics conference-workshops (CSBW'05 …, 2005 | 135 | 2005 |
Identifying pathogenicity islands in bacterial pathogenomics using computational approaches D Che, MS Hasan, B Chen Pathogens 3 (1), 36-56, 2014 | 76 | 2014 |
Wineinformatics: Applying data mining on wine sensory reviews processed by the computational wine wheel B Chen, C Rhodes, A Crawford, L Hambuchen 2014 IEEE International Conference on Data Mining Workshop, 142-149, 2014 | 56 | 2014 |
GIST: genomic island suite of tools for predicting genomic islands in genomic sequences MS Hasan, Q Liu, H Wang, J Fazekas, B Chen, D Che Bioinformation 8 (4), 203, 2012 | 50 | 2012 |
Analysis of density based and fuzzy c-means clustering methods on lesion border extraction in dermoscopy images S Kockara, M Mete, B Chen, K Aydin BMC bioinformatics 11, 1-11, 2010 | 35 | 2010 |
FGK model: an efficient granular computing model for protein sequence motifs information discovery B Chen, PC Tai, R Harrison, Y Pan The IASTED international conference on computational and systems biology, 56-61, 2006 | 35 | 2006 |
FIK model: novel efficient granular computing model for protein sequence motifs and structure information discovery B Chen, PC Tai, R Harrison, Y Pan Sixth IEEE Symposium on BioInformatics and BioEngineering (BIBE'06), 20-26, 2006 | 34 | 2006 |
An accurate genomic island prediction method for sequenced bacterial and archaeal genomes D Che, H Wang, J Fazekas, B Chen Journal of Proteomics & Bioinformatics 7 (8), 214, 2014 | 31 | 2014 |
Sparse nonnegative matrix factorization for protein sequence motif discovery W Kim, B Chen, J Kim, Y Pan, H Park Expert Systems with Applications 38 (10), 13198-13207, 2011 | 26 | 2011 |
Wineinformatics: A quantitative analysis of wine reviewers B Chen, V Velchev, J Palmer, T Atkison Fermentation 4 (4), 82, 2018 | 21 | 2018 |
Efficient super granular SVM feature elimination (Super GSVM-FE) model for protein sequence motif information extraction B Chen, S Pellicer, PC Tai, R Harrison, Y Pan International Journal of Functional Informatics and Personalised Medicine 1 …, 2008 | 20 | 2008 |
The computational wine wheel 2.0 and the TriMax triclustering in wineinformatics B Chen, C Rhodes, A Yu, V Velchev Advances in Data Mining. Applications and Theoretical Aspects: 16th …, 2016 | 19 | 2016 |
Protein local 3D structure prediction by super granule support vector machines (Super GSVM) B Chen, M Johnson BMC bioinformatics 10, 1-7, 2009 | 19 | 2009 |
Soft tissue deformation and optimized data structures for mass spring methods T Halic, S Kockara, C Bayrak, R Rowe, B Chen 2009 Ninth IEEE International Conference on Bioinformatics and …, 2009 | 19 | 2009 |
Understanding 21st century bordeaux wines from wine reviews using naïve bayes classifier Z Dong, X Guo, S Rajana, B Chen Beverages 6 (1), 5, 2020 | 16 | 2020 |
Wineinformatics: Regression on the grade and price of wines through their sensory attributes J Palmer, B Chen Fermentation 4 (4), 84, 2018 | 16 | 2018 |
Using Hybrid Hierarchical K-means (HHK) clustering algorithm for protein sequence motif Super-Rule-Tree (SRT) structure construction B Chen, J He, S Pellicer, Y Pan International journal of data mining and bioinformatics 4 (3), 316-330, 2010 | 13 | 2010 |
Understanding the wine judges and evaluating the consistency through white-box classification algorithms B Chen, H Le, C Rhodes, D Che Advances in Data Mining. Applications and Theoretical Aspects: 16th …, 2016 | 11 | 2016 |
Wineinformatics: Uncork Napa's Cabernet Sauvignon by Association Rule Based Classification B Chen, V Velchev, B Nicholson, J Garrison, M Iwamura, R Battisto 2015 IEEE 14th International Conference on Machine Learning and Applications …, 2015 | 11 | 2015 |
Wineinformatics: using the full power of the computational wine wheel to understand 21st century bordeaux wines from the reviews Z Dong, T Atkison, B Chen Beverages 7 (1), 3, 2021 | 10 | 2021 |