gene expression on directed graph based on Information Criterion.

Calculate information criterion of each node of the network with edges

1	calc_ic_with_edges(network, exp_data, ic_type, is_markov, segment, icwoedge)

`network`	directed graph: format used in library bnlearn is used.
`exp_data`	experimental data on nodes in the network: data frame
`ic_type`	information criterion type: string "aic"(=default) or "bayes"
`is_markov`	edges are drown under markov property :boolean TRUE or FALSE(=default)
`segment`	This paramer assigns the segments of exp_data. It is used when exp_data is composed of plural time-course experiment and the edges are drown under markov property
`icwoedge`	information criterion of nodes without edge

a dataframe of nodes x samples

takenakayoichi/tacs documentation built on May 31, 2019, 2:50 a.m.

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