CorrelationNetwork-class | R Documentation |
A class for representing networks of pairwise correlations. A network is composed of nodes and links (edges, connections, etc.). A link is represented as a pair of nodes, with attributes such as correlationCoef and pValue (see Link). To represent a network, we need both the list of links in the network and a list of nodes in case some nodes have no links. A network can also have properties such as directedness, levels, colors, etc. (coming soon).
links
CorrelationLinkList object defining the links in the network.
nodes
NodeList object defining the nodes in the network. Some nodes may not have any links.
linkColorScheme
string defining the type of coloring scheme the links follow. Options are 'none' (default) and 'posneg'. In the case of 'posneg', the links color slot will be set to 1 if the link is positive, and -1 if the link is negative. Use a method assignLinkColors() to assign colors to links and set this slot's value.
variableMapping
veupathUtils::VariableMetadataList object defining the variable mappings in the network.
correlationCoefThreshold
numeric defining the correlation coefficient threshold for filtering links. Default is NA (no filtering). Any link with an absolute correlation coefficient below this threshold will be filtered out.
pValueThreshold
numeric defining the p-value threshold for filtering links. Default is NA (no filtering). Any link with an p-value above this threshold will be filtered out.
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