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Protein classification based on propagation of unrooted binary trees
András Kocsor1, Róbert Busa-Fekete, Sándor Pongor
1Hungary Academy of Sciences, Szeged, Hungary.
Protein and Peptide Letters
|June 10, 2008
Abstract:
We present two efficient network propagation algorithms that operate on a binary tree, i.e., a sparse-edged substitute of an entire similarity network. TreeProp-N is based on passing increments between nodes while TreeProp-E employs propagation to the edges of the tree. Both algorithms improve protein classification efficiency.
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