• Corpus ID: 25448259

SANA : Simulated Annealing far outperforms many Biological Network alignment algorithms : SUPPLEMENTARY MATERIAL

@inproceedings{Mamano2017SANAS,
  title={SANA : Simulated Annealing far outperforms many Biological Network alignment algorithms : SUPPLEMENTARY MATERIAL},
  author={Nil Mamano and Wayne B. Hayes},
  year={2017}
}
We include descriptions, graphs and tables that were omitted from the main SANA paper due to space limitations. Software available at http://sana.ics.uci.edu. Contact: whayes@uci.edu 1 IMPLEMENTATION DETAILS 1.1 Incremental evaluation A SANA iteration consists of updating the temperature (see Figure 1 for an explanation of the temperature schedule), generating a neighbor alignment (see Figure 2), evaluating it, and deciding whether to keep it. It is clear that all the steps other than… 

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