get_node_colors

an igraph graph object with the node names defined in <code>V(net)$name</code>

numeric vector. Every value is in the [-1,1] interval and
represents the average activity difference of each node. The node names have
to be specified in the names attribute of the given <code>diff</code> vector
and have to be the same as in <code>V(net)$name</code>.

diff

a character vector of colors to do the color interpolation in the
[-1,1] interval. Usually a two-element vector specifying the colors matching
the start and end of the interval (-1 and 1 respectively) or a three-element
vector specifying the colors matching the values -1, 0 and 1 (can be more of
course, you get the idea).

This function splits the [-1,1] interval into 2000 smaller
ones and matches each value of the <code>diff</code> vector to a specific hex color
code, using a spline interpolation of the colors as defined in the <code>col</code>
parameter.

Analysis and visualization of an ensemble of boolean models for
biomarker discovery in cancer cell networks. The package allows to easily
import the data results of a software pipeline that predicts synergistic drug
combinations in cancer cell lines, developed by the DrugLogics research group
in NTNU. It has generic functions that can be used to split a boolean model
dataset to model groups with regards to the models predictive performance (number of true
positive predictions or Matthews correlation coefficient score) or synergy prediction based on a given set
of observed synergies and find the average activity difference per network
node between all group pairs. Thus, given user-specific thresholds,
important nodes (biomarkers) can be accessed in the sense that they make the
models predict specific synergies (synergy biomarkers) or have better
performance in general (performance biomarkers). Lastly, if the
boolean models have a specific equation form and differ only in their link operator,
link operator biomarkers can also be assessed.

get_node_colors: Get the node colors

Description

Usage

Arguments

Value