Graphlet kernel 1.01

:: DESCRIPTION

Graphlet kernelis a supervised learning framework for annotating functional residues in protein structures. Each residue is represented as a vector of counts of labeled non‐isomorphic subgraphs (called graphlets) in the protein contact graph, and a similarity measure between two vertices is expressed as the inner product of their respective count vectors

::DEVELOPER

the Algorithms and Computational Biology Lab

:: REQUIREMENTS

• Linux

:: DOWNLOAD

   Graphlet kernel

:: MORE INFORMATION

Citation:

Vladimir Vacic, Lilia Iakoucheva, Stefano Lonardi, and Predrag Radivojac
“Graphlet kernels for prediction of functional residues in protein structures”
Journal of Computational Biology. 17(1):55-72. (2010)