Protein classification based on propagation of unrooted binary trees.
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.
Hungary Academy of Sciences, Szeged, Hungary.
András
A
Kocsor
Róbert
R
Busa-Fekete
Sándor
S
Pongor
D000465:Algorithms; D019295:Computational Biology / Q000379:methods*; D030562:Databases, Protein; D011506:Proteins / Q000737:chemistry / Q000145:classification*
D011506:Proteins