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.
|Author||Yang Cao [aut, cre], Fei Li [aut]|
|Date of publication||2016-11-21 12:01:34|
|Maintainer||Yang Cao <firstname.lastname@example.org>|
|License||GPL (>= 2)|
calc_sim_score: Calculating the similarity scores
cluster_info-methods: Extract the cluster information of _NFP_.
group-methods: Group information of _NFPRefnet_
install_data_package: Install NFP data package NFPdata
kegg_refnet: Human KEGG signal pathway maps
load_KEGG_refnet: Load the the reference molecular networks
net-methods: Basic networks of _NFPRefnet_ class
NFP: The NFP package
perm_score-methods: Extract the randomized similarity score
plot_NFPlist: Plot multiple NFPs.
plot_NFP-methods: Plot NFP results
refnet_name-methods: Names of basic networks
show-methods: The show generic function
show_NFPRefnet-methods: Show an Object
subnet-methods: Subset the basic networks
sub_NFP-methods: subset of NFP object