The following publications are possibly variants of this publication:
- SL-GLAlign: Improving the Local Alignment of Biological Networks through Simulated AnnealingMarianna Milano, Wayne Hayes, Pierangelo Veltri, Mario Cannataro 0001, Pietro Hiram Guzzi. bcb 2018: 577-578 [doi]
- Towards Local Alignment of Multiple Networks: Multi-GLAlignMarianna Milano, Pietro Hiram Guzzi, Mario Cannataro 0001. bcb 2019: 658-662 [doi]
- GLAlign: A Novel Algorithm for Local Network AlignmentMarianna Milano, Pietro Hiram Guzzi, Mario Cannataro. tcbb, 16(6):1958-1969, 2019. [doi]
- SANA: simulated annealing far outperforms many other search algorithms for biological network alignmentNil Mamano, Wayne B. Hayes. bioinformatics, 33(14):2156-2164, 2017. [doi]
- GLAlign: Using global graph alignment to improve local graph alignmentMarianna Milano, Mario Cannataro, Pietro Hiram Guzzi. bibm 2016: 1695-1702 [doi]