Wayne B. Hayes
Affiliations: | Computer Science-Ph.D. | University of California, Irvine, Irvine, CA |
Area:
Computer ScienceGoogle:
"Wayne Hayes"Children
Sign in to add trainee| Yong-Kang Zhu | grad student | 2009 | UC Irvine |
| Weng L. Ng | grad student | 2011 | UC Irvine |
| Darren R. Davis | grad student | 2014 | UC Irvine |
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Publications
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| Maharaj S, Qian T, Ohiba Z, et al. (2020) Common Neighbors Extension of the Sticky Model for PPI Networks Evaluated by Global and Local Graphlet Similarity. Ieee/Acm Transactions On Computational Biology and Bioinformatics |
| Milano M, Hayes WB, Veltri P, et al. (2020) SL-GLAlign: improving local alignment of biological networks through simulated annealing Network Modeling Analysis in Health Informatics and Bioinformatics. 9: 10 |
| Maharaj S, Tracy B, Hayes WB. (2019) BLANT - Fast Graphlet Sampling Tool. Bioinformatics (Oxford, England) |
| Peng T(, English JE, Silva P, et al. (2018) SpArcFiRe: morphological selection effects due to reduced visibility of tightly winding arms in distant spiral galaxies Monthly Notices of the Royal Astronomical Society. 479: 5532-5543 |
| Hayes WB, Mamano N. (2017) SANA NetGO: A combinatorial approach to using Gene Ontology (GO) terms to score network alignments. Bioinformatics (Oxford, England) |
| Mamano N, Hayes WB. (2017) SANA: Simulated Annealing far outperforms many other search algorithms for biological network alignment. Bioinformatics (Oxford, England) |
| Hart RE, Bamford SP, Hayes WB, et al. (2017) Galaxy Zoo and sparcfire: constraints on spiral arm formation mechanisms from spiral arm number and pitch angles Monthly Notices of the Royal Astronomical Society. 472: 2263-2279 |
| Hayes WB, Davis D, Silva P. (2016) On the nature and correction of the spurious S-wise spiral galaxy winding bias in Galaxy Zoo 1 Monthly Notices of the Royal Astronomical Society. 466: 3928-3936 |
| Davis DR, Hayes WB. (2014) SpArcFiRe: Scalable automated detection of spiral galaxy arm segments Astrophysical Journal. 790 |
| Hayes W, Sun K, Pržulj N. (2013) Graphlet-based measures are suitable for biological network comparison. Bioinformatics (Oxford, England). 29: 483-91 |