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
:: 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)