Evaluating Validation Techniques for Biological Network Alignment.

Fried, Inbar.
2017-04-20T13:57:34.191Z

Abstract: Cross-species biological network alignments are powerful tools for knowledge discovery and have been a major focus in the field of computational biology. Many alignment algorithms have been published in recent years, along with validation techniques to quantify the success of an alignment. In this work we show that existing validation techniques are not always suitable metrics to assess ... read more

Subjects
Tufts University. Department of Computer Science.
Permanent URL
http://hdl.handle.net/10427/011944
ID: tufts:21419
To Cite: DCA Citation Guide