Robert W. Harrison

	2011
51		Promita Bose, Xiaxia Yu, Robert W. Harrison: Encoding protein structure with functions on graphs. BIBM Workshops 2011: 338-344
50		Na'el Abu-halaweh, Amit Sabnis, Robert W. Harrison: Prediction of Regulatory sRNAs in Prokaryotes using Machine Learning Tools. BIOINFORMATICS 2011: 75-81
49		Amit Sabnis, Robert W. Harrison: A Continuous-Time, Discrete-State Method for Simulating the Dynamics of Biochemical Systems. IEEE/ACM Trans. Comput. Biology Bioinform. 8(2): 335-341 (2011)
48		Hae-Jin Hu, Robert W. Harrison, Phang C. Tai, Yi Pan: Understandable learning machine system design for Transmembrane or Embedded Membrane segments prediction. IJDMB 5(1): 38-51 (2011)
	2010
47		Anjum Reyaz-Ahmed, Na'el Abu-halaweh, Robert W. Harrison, Yan-Qing Zhang: Protein Model Assessment via Improved Fuzzy Decision Tree. BIOCOMP 2010: 238-241
46		Amit Sabnis, Robert W. Harrison: Simulation of oscillatory dynamics of blood testosterone levels using the crossover method. CIBCB 2010: 1-6
45		Na'el Abu-halaweh, Robert W. Harrison: Identifying essential features for the classification of real and pseudo microRNAs precursors using fuzzy decision trees. CIBCB 2010: 1-7
44		Qiong Cheng, Piotr Berman, Robert W. Harrison, Alexander Zelikovsky: Efficient Alignments of Metabolic Networks with Bounded Treewidth. ICDM Workshops 2010: 687-694
43		Anjum Reyaz-Ahmed, Robert W. Harrison, Yan-Qing Zhang: Protein model assessment via machine learning techniques. I. J. Functional Informatics and Personalised Medicine 3(3): 215-227 (2010)
	2009
42		Jieyue He, Robert W. Harrison, Phang C. Tai, Yi Pan: Tri-Cluster-Tri-Scheme-Training: Exploiting Unlabeled Data for Transmembrane Segments Prediction. BIBE 2009: 168-175
41		Amit Sabnis, Robert W. Harrison: A Novel Deterministic-Stochastic Crossover Method for Simulating Biochemical Networks. BIBM 2009: 315-320
40		Na'el Abu-halaweh, Robert W. Harrison: Practical fuzzy decision trees. CIDM 2009: 211-216
39		Na'el Abu-halaweh, Robert W. Harrison: Prediction and Classification of Real and Pseudo MicroRNA Precursors via Data Fuzzification and Fuzzy Decision Trees. ISBRA 2009: 323-334
38		Qiong Cheng, Robert W. Harrison, Alexander Zelikovsky: MetNetAligner: a web service tool for metabolic network alignments. Bioinformatics 25(15): 1989-1990 (2009)
37		Bernard Chen, Stephen Pellicer, Phang C. Tai, Robert W. Harrison, Yi Pan: Novel efficient granular computing models for protein sequence motifs and structure information discovery. I. J. Computational Biology and Drug Design 2(2): 168-186 (2009)
	2008
36		Qiong Cheng, Piotr Berman, Robert W. Harrison, Alexander Zelikovsky: Fast Alignments of Metabolic Networks. BIBM 2008: 147-152
35		Jieyue He, Hae-Jin Hu, Bernard Chen, Phang C. Tai, Robert W. Harrison, Yi Pan: Rule Extraction from SVM for Protein Structure Prediction. Rule Extraction from Support Vector Machines 2008: 227-252
34		Xiujuan Chen, Yong Li, Robert W. Harrison, Yan-Qing Zhang: Type-2 fuzzy logic-based classifier fusion for support vector machines. Appl. Soft Comput. 8(3): 1222-1231 (2008)
33		Bernard Chen, Stephen Pellicer, Phang C. Tai, Robert W. Harrison, Yi Pan: Efficient Super Granular SVM Feature Elimination (Super GSVM-FE) model for protein sequence motif information extraction. I. J. Functional Informatics and Personalised Medicine 1(1): 8-25 (2008)
32		Xuezheng Fu, Hao Wang, Robert W. Harrison, William L. Harrison: A rule-based approach for RNA pseudoknot prediction. IJDMB 2(1): 78-93 (2008)
	2007
31		Qiong Cheng, Robert W. Harrison, Alexander Zelikovsky: Homomorphisms of Multisource Trees into Networks with Applications to Metabolic Pathways. BIBE 2007: 350-357
30		Bernard Chen, Stephen Pellicer, Phang C. Tai, Robert W. Harrison, Yi Pan: Super Granular Shrink-SVM Feature Elimination (Super GS-SVM-FE) Model for Protein Sequence Motif Information Extraction. BIBE 2007: 379-386
29		Bernard Chen, Stephen Pellicer, Phang C. Tai, Robert W. Harrison, Yi Pan: Super Granular SVM Feature Elimination (Super GSVM-FE) Model for Protein Sequence Motif Informnation Extraction. CIBCB 2007: 317-322
28		Hae-Jin Hu, Hao Wang, Robert W. Harrison, Phang C. Tai, Yi Pan: Understanding the Prediction of Transmembrane Proteins by Support Vector Machine using Association Rule Mining. CIBCB 2007: 418-425
27		Xiujuan Chen, Yichuan Zhao, Yan-Qing Zhang, Robert W. Harrison: Combining SVM Classifiers Using Genetic Fuzzy Systems Based on AUC for Gene Expression Data Analysis. ISBRA 2007: 496-505
26		Xuezheng Fu, Bernard Chen, Yi Pan, Robert W. Harrison: Statistical Estimate for the Size of the Protein Structural Vocabulary. ISBRA 2007: 530-538
25		Gulsah Altun, Hae-Jin Hu, Stefan Gremalschi, Robert W. Harrison, Yi Pan: A Feature Selection Algorithm Based on Graph Theory and Random Forests for Protein Secondary Structure Prediction. ISBRA 2007: 590-600
24		Wenjun Ma, Wing Zhu, Robert W. Harrison, G. Scott Owen: AMMP-EXTN: Managing User Privacy and Cooperation Demand in a Collaborative Molecule Modeling Virtual System. VR 2007: 301-302
23		Wei Zhong, Jieyue He, Robert W. Harrison, Phang C. Tai, Yi Pan: Clustering support vector machines for protein local structure prediction. Expert Syst. Appl. 32(2): 518-526 (2007)
22		Xiujuan Chen, Yong Li, Robert W. Harrison, Yan-Qing Zhang: Genetic fuzzy classification fusion of multiple SVMs for biomedical data. Journal of Intelligent and Fuzzy Systems 18(6): 527-541 (2007)
21		Wei Zhong, Gulsah Altun, Xinmin Tian, Robert W. Harrison, Phang C. Tai, Yi Pan: Parallel protein secondary structure prediction schemes using Pthread and OpenMP over hyper-threading technology. The Journal of Supercomputing 41(1): 1-16 (2007)
	2006
20		Bernard Chen, Phang C. Tai, Robert W. Harrison, Yi Pan: FIK Model: Novel Efficient Granular Computing Model for Protein Sequence Motifs and Structure Information Discovery. BIBE 2006: 20-26
19		Xuezheng Fu, Feng Tan, Hao Wang, Yanqing Zhang, Robert W. Harrison: Feature Similarity Based Redundancy Reduction for Gene Selection. DMIN 2006: 357-360
18		Bernard Chen, Phang C. Tai, Robert W. Harrison, Yi Pan: Novel Clustering Algorithm Combined With DSSP Post Processing For Protein Sequence Motif Discovering. GrC 2006: 449-452
17		Gulsah Altun, Hae-Jin Hu, Dumitru Brinza, Robert W. Harrison, Alexander Zelikovsky, Yi Pan: Hybrid SVM Kernels for Protein Secondary Structure Prediction. GrC 2006: 762-765
16		Xuezheng Fu, Yong Li, Robert W. Harrison, Saeid Belkasim: Content-based Image Retrieval Using Gabor-Zernike Features. ICPR (2) 2006: 417-420
15		Jieyue He, Wei Zhong, Robert W. Harrison, Phang C. Tai, Yi Pan: Clustering Support Vector Machines and Its Application to Local Protein Tertiary Structure Prediction. International Conference on Computational Science (2) 2006: 710-717
14		Jieyue He, Hae-Jin Hu, Robert W. Harrison, Phang C. Tai, Yi Pan: Transmembrane segments prediction and understanding using support vector machine and decision tree. Expert Syst. Appl. 30(1): 64-72 (2006)
	2005
13		Xuezheng Fu, Hao Wang, William L. Harrison, Robert W. Harrison: RNA Pseudoknot Prediction Using Term Rewriting. BIBE 2005: 169-176
12		Bernard Chen, Robert W. Harrison, Yi Pan, Phang C. Tai: Novel Hybrid Hierarchical-K-means Clustering Method (H-K-means) for Microarray Analysis. CSB Workshops 2005: 105-108
11		Hae-Jin Hu, Phang C. Tai, Robert W. Harrison, Jieyue He, Yi Pan: Protein Secondary Structure Prediction Using Support Vector Machine With a PSSM Profile and an Advanced Tertiary Classifier. CSB Workshops 2005: 213-214
10		Wei Zhong, Gulsah Altun, Robert W. Harrison, Phang C. Tai, Yi Pan: Mining Protein Sequence Motifs Representing Common 3D Structures. CSB Workshops 2005: 215-216
9		Jieyue He, Bernard Chen, Hae-Jin Hu, Robert W. Harrison, Phang C. Tai, Yisheng Dong, Yi Pan: Rule Clustering and Super-rule Generation for Transmembrane Segments Prediction. CSB Workshops 2005: 224-227
8		Xiujuan Chen, Robert W. Harrison, Yan-Qing Zhang: Genetic fuzzy fusion of SVM classifiers for biomedical data. Congress on Evolutionary Computation 2005: 654-659
7		Xiujuan Chen, Robert W. Harrison, Yanqing Zhang: Fuzzy support vector machines for biomedical data analysis. GrC 2005: 131-134
6		Jieyue He, Hae-Jin Hu, Robert W. Harrison, Phang C. Tai, Yisheng Dong, Yi Pan: Understanding Protein Structure Prediction Using SVM_DT. ISPA Workshops 2005: 203-212
5		Jeffrey W. Chastine, Jeremy C. Brooks, Ying Zhu, G. Scott Owen, Robert W. Harrison, Irene T. Weber: AMMP-Vis: a collaborative virtual environment for molecular modeling. VRST 2005: 8-15
	2004
4		Hai Deng, Robert W. Harrison, Yi Pan, Phang C. Tai: Alternative target functions for protein structure prediction with neural networks. Data Mining and Knowledge Discovery: Theory, Tools, and Technology 2004: 100-107
3		Wei Zhong, Yi Pan, Robert W. Harrison, Phang C. Tai: Protein secondary structure prediction using different encoding schemes and neural network architectures. Data Mining and Knowledge Discovery: Theory, Tools, and Technology 2004: 74-79
2		Hae-Jin Hu, Yi Pan, Robert W. Harrison, Phang C. Tai: Protein secondary structure prediction using support vector machine with advanced encoding schemes. Data Mining and Knowledge Discovery: Theory, Tools, and Technology 2004: 80-87
	1999
1		Robert W. Harrison: Integrating quantum and molecular mechanics. Journal of Computational Chemistry 20(15): 1618-1633 (1999)

Coauthor Index

1	Na'el Abu-halaweh	[39] [40] [45] [47] [50]
2	Gulsah Altun	[10] [17] [21] [25]
3	Saeid Belkasim	[16]
4	Piotr Berman	[36] [44]
5	Promita Bose	[51]
6	Dumitru Brinza	[17]
7	Jeremy C. Brooks	[5]
8	Jeffrey W. Chastine	[5]
9	Bernard Chen	[9] [12] [18] [20] [26] [29] [30] [33] [35] [37]
10	Xiujuan Chen	[7] [8] [22] [27] [34]
11	Qiong Cheng	[31] [36] [38] [44]
12	Hai Deng	[4]
13	Yisheng Dong	[6] [9]
14	Xuezheng Fu	[13] [16] [19] [26] [32]
15	Stefan Gremalschi	[25]
16	William L. Harrison	[13] [32]
17	Jieyue He	[6] [9] [11] [14] [15] [23] [35] [42]
18	Hae-Jin Hu	[2] [6] [9] [11] [14] [17] [25] [28] [35] [48]
19	Yong Li	[16] [22] [34]
20	Wenjun Ma	[24]
21	G. Scott Owen	[5] [24]
22	Yi Pan	[2] [3] [4] [6] [9] [10] [11] [12] [14] [15] [17] [18] [20] [21] [23] [25] [26] [28] [29] [30] [33] [35] [37] [42] [48]
23	Stephen Pellicer	[29] [30] [33] [37]
24	Anjum Reyaz-Ahmed	[43] [47]
25	Amit Sabnis	[41] [46] [49] [50]
26	Phang C. Tai	[2] [3] [4] [6] [9] [10] [11] [12] [14] [15] [18] [20] [21] [23] [28] [29] [30] [33] [35] [37] [42] [48]
27	Feng Tan	[19]
28	Xinmin Tian	[21]
29	Hao Wang	[13] [19] [28] [32]
30	Irene T. Weber	[5]
31	Xiaxia Yu	[51]
32	Alexander Zelikovsky	[17] [31] [36] [38] [44]
33	Yanqing Zhang (Yan-Qing Zhang)	[7] [8] [19] [22] [27] [34] [43] [47]
34	Yichuan Zhao	[27]
35	Wei Zhong	[3] [10] [15] [21] [23]
36	Wing Zhu	[24]
37	Ying Zhu	[5]

Colors in the list of coauthors

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