Package: KINNET 0.4.0.9002
KINNET: Kinase INteraction NETwork Generation
This package provides the functionality to process PamGene's PamChip Data Output and generate kinase interaction networks from that. This project uses a bayesian algorithm to generate bayesian networks for defining dependence relationships between peptide sequences in the PamChip data. It then uses a novel kinase assignment method to assign upstream kinases to each peptide which is then output as a graph.
Authors:
KINNET_0.4.0.9002.tar.gz
KINNET_0.4.0.9002.zip(r-4.5)KINNET_0.4.0.9002.zip(r-4.4)KINNET_0.4.0.9002.zip(r-4.3)
KINNET_0.4.0.9002.tgz(r-4.4-any)KINNET_0.4.0.9002.tgz(r-4.3-any)
KINNET_0.4.0.9002.tar.gz(r-4.5-noble)KINNET_0.4.0.9002.tar.gz(r-4.4-noble)
KINNET_0.4.0.9002.tgz(r-4.4-emscripten)KINNET_0.4.0.9002.tgz(r-4.3-emscripten)
KINNET.pdf |KINNET.html✨
KINNET/json (API)
# Install KINNET in R: |
install.packages('KINNET', repos = c('https://cogdisreslab.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/cogdisreslab/kinnet/issues
Last updated 2 years agofrom:8c901f74fee88662aa6630dbe536ba08e7a7af54
Exports:assign_kinasesassign_kinases_guidedclassescompare_kinased_graphsequalize_kinase_graphsexp_datafilter_peptidesfit_standardizedkinnet_hammingkinnet_normalized_hammingkinnet_normalized_shdkinnet_shdmake_modelPamchipData_PTKPamchipData_STKpeptidespheno_datarender_kinased_graphrender_reduced_kinased_graphsubset_dataupdate_probability_matrix
Dependencies:bayestestRBiocGenericsbitbit64bnlearnclicliprcpp11crayondatawizarddplyreffectsizefansigenericsgluegraphhmsinsightlifecyclemagrittrparametersperformancepillarpkgconfigprettyunitsprogresspurrrR6readrRgraphvizrlangstringistringrtibbletidyrtidyselecttzdbutf8vctrsvroomwithr