calc_sim_score

a graphNel object to represent the query biological networks,
for more details see <code><a rd-options="graph" href="/link/graphNEL?package=NFP&version=0.99.3&to=graph" data-mini-rdoc="graph::graphNEL">graphNEL</a></code>

net, 

a NFPRefnet object, one or more kegg pathway map, or
customized networks. For more details see <code><a rd-options="" href="/link/NFPRefnet-class?package=NFP&version=0.99.3" data-mini-rdoc="NFP::NFPRefnet-class">NFPRefnet-class</a></code>.

NFPnet, 

number of random networks for similarity score standardization

nperm, 

..., 

This function was used to calculate the similarity scores
between a network and the reference network.

An implementation of the network fingerprint framework that introduced
in paper "Network fingerprint: a knowledge-based characterization of biomedical
networks" (Cui, 2015) <doi:10.1038/srep13286>. This method worked by making
systematic comparisons to a set of well-studied "basic networks", measuring
both the functional and topological similarity. A biological could be
characterized as a spectrum-like vector consisting of similarities to basic
networks. It shows great potential in biological network study.

Yang Cao

Network Fingerprint Framework in R

Fei Li

calc_sim_score function

a graphNel object to represent the query biological networks,
for more details see <code><a rd-options='graph' href='graphNEL'>graphNEL</a></code>

a NFPRefnet object, one or more kegg pathway map, or
customized networks. For more details see <code><a rd-options='' href='NFPRefnet-class'>NFPRefnet-class</a></code>.

calc_sim_score: Calculating the similarity scores

Description

Usage

Arguments

Value

See Also