Kay C. Wiese

2008
29	EE	Herbert H. Tsang, Kay C. Wiese: SARNA-Predict-pk: Predicting RNA secondary structures including pseudoknots. CIBCB 2008: 1-8
28	EE	Kay C. Wiese, Andrew Hendriks: A hybrid clustering/evolutionary algorithm for RNA folding. CIBCB 2008: 15-21
27	EE	Kirt M. Noël, Kay C. Wiese: Considering Stem-Loops as Sequence Signals for Finding Ribosomal RNA Genes. Computational Intelligence in Biomedicine and Bioinformatics 2008: 337-357
26	EE	Kay C. Wiese, Alain Deschênes, Andrew Hendriks: RnaPredict-An Evolutionary Algorithm for RNA Secondary Structure Prediction. IEEE/ACM Trans. Comput. Biology Bioinform. 5(1): 25-41 (2008)
2007
25	EE	Herbert H. Tsang, Kay C. Wiese: SARNA-Predict: A Study of RNA Secondary Structure Prediction Using Different Annealing Schedules. CIBCB 2007: 239-246
24	EE	Herbert H. Tsang, Kay C. Wiese: The significance of thermodynamic models in the accuracy improvement of RNA secondary structure prediction using permutation-based simulated annealing. IEEE Congress on Evolutionary Computation 2007: 3879-3885
2006
23	EE	Kay C. Wiese, Christina Eicher: Graph Drawing Tools for Bioinformatics Research: An Overview. CBMS 2006: 653-658
22	EE	Kay C. Wiese, Edward Glen: jViz.Rna - An Interactive Graphical Tool for Visualizing RNA Secondary Structure Including Pseudoknots. CBMS 2006: 659-664
21	EE	Herbert H. Tsang, Kay C. Wiese: SARNA-Predict: A Simulated Annealing Algorithm for RNA Secondary Structure Prediction. CIBCB 2006: 1-10
20	EE	Kay C. Wiese, Andrew Hendriks, Alain Deschênes: Analysis of Thermodynamic Models and Performance in RnaPredict - An Evolutionary Algorithm for RNA Folding. CIBCB 2006: 1-9
19	EE	H. Alexander Ebhardt, Kay C. Wiese, Peter J. Unrau: Ebbie: automated analysis and storage of small RNA cloning data using a dynamic web server. BMC Bioinformatics 7: 185 (2006)
18	EE	Kay C. Wiese, Andrew Hendriks: Comparison of P-RnaPredict and mfold - algorithms for RNA secondary structure prediction. Bioinformatics 22(8): 934-942 (2006)
2005
17	EE	Kay C. Wiese, Andrew Hendriks, Alain Deschênes, Belgacem Ben Youssef: Significance of randomness in P-RnaPredict - a parallel evolutionary algorithm for RNA folding. Congress on Evolutionary Computation 2005: 467-474
16	EE	Kay C. Wiese, Andrew Hendriks, Jagdeep Poonian: Algorithms for RNA folding: a comparison of dynamic programming and parallel evolutionary algorithms. Congress on Evolutionary Computation 2005: 475-483
15	EE	Kay C. Wiese, Andrew Hendriks, Alain Deschênes, Belgacem Ben Youssef: The impact of pseudorandom number quality on P-RnaPredict, a parallel genetic algorithm for RNA secondary structure prediction. GECCO 2005: 479-480
2004
14	EE	Kirt M. Noël, Kay C. Wiese: Exploring the Use of Stem-Loop Characteristics for Pinpointing Structural RNA Genes. CSB 2004: 533-534
13	EE	Alain Deschênes, Kay C. Wiese, Edward Glen: Comparison of Permutation-Based and Binary Representation in a Genetic Algorithm for RNA Secondary Structure Prediction. Canadian Conference on AI 2004: 549-550
12	EE	Andrew Hendriks, Kay C. Wiese, Edward Glen: Comparison of Parallel and Serial Genetic Algorithms for RNA Secondary Structure Prediction. Canadian Conference on AI 2004: 554-555
11	EE	Lenny Tang, Kay C. Wiese, Vive Kumar: Genetic Algorithm Based OSPF Network Routing Using LEDA. Canadian Conference on AI 2004: 571-572
2003
10	EE	Kay C. Wiese, Alain Deschênes, Edward Glen: Permutation-based RNA secondary structure prediction via a genetic algorithm. IEEE Congress on Evolutionary Computation (1) 2003: 335-342
9	EE	Andrew Hendriks, Kay C. Wiese, Edward Glen, Alain Deschênes: A distributed genetic algorithm for RNA secondary structure prediction. IEEE Congress on Evolutionary Computation (1) 2003: 343-350
8	EE	Kay C. Wiese, Edward Glen: RNA Structure as Permutation: A GA Approach Comparing Different Genetic Sequencing Operators. ISMIS 2003: 511-520
2002
7		Kay C. Wiese, Edward Glen: A Permutation Based Genetic Algorithm for RNA Secondary Structure Prediction. HIS 2002: 173-182
2001
6		Kay C. Wiese, Scott D. Goodwin: Keep-Best Reproduction: A Local Family Competition Selection Strategy and the Environment it Flourishes in. Constraints 6(4): 399-422 (2001)
2000
5	EE	Kay C. Wiese, Scott D. Goodwin, Sivakumar Nagarajan: ASERC - A Genetic Sequencing Operator for Asymmetric Permutation Problems. Canadian Conference on AI 2000: 201-213
1999
4	EE	Kay C. Wiese, Scott D. Goodwin: Convergence Characteristics of Keep-Best Reproduction. SAC 1999: 312-318
1998
3		Kay C. Wiese, Scott D. Goodwin: The Effect of Genetic Operator Probabilities and Selection Strategies on the Performance of a Genetic Algorithm. Canadian Conference on AI 1998: 139-153
2		Kay C. Wiese, Sivakumar Nagarajan, Scott D. Goodwin: Parallel Genetic Algorithms for Constrained Ordering Problems. FLAIRS Conference 1998: 101-105
1	EE	Kay C. Wiese, Scott D. Goodwin: Keep-best reproduction: a selection strategy for genetic algorithms. SAC 1998: 343-348

Coauthor Index

1	Alain Deschênes	[9] [10] [13] [15] [17] [20] [26]
2	H. Alexander Ebhardt	[19]
3	Christina Eicher	[23]
4	Edward Glen	[7] [8] [9] [10] [12] [13] [22]
5	Scott D. Goodwin	[1] [2] [3] [4] [5] [6]
6	Andrew Hendriks	[9] [12] [15] [16] [17] [18] [20] [26] [28]
7	Vive Kumar	[11]
8	Sivakumar Nagarajan	[2] [5]
9	Kirt M. Noël	[14] [27]
10	Jagdeep Poonian	[16]
11	Lenny Tang	[11]
12	Herbert H. Tsang	[21] [24] [25] [29]
13	Peter J. Unrau	[19]
14	Belgacem Ben Youssef	[15] [17]

Colors in the list of coauthors