All functions

V()

Vertices of an igraph graph

betweenness()

Vertex betweenness centrality

cent_network.vis()

Centrality-based network visualization

centrality.measures

Centrality measures dataset

clusterRank()

ClusterRank (CR)

coexpression.adjacency

Adjacency matrix

coexpression.data

Co-expression dataset

collective.influence()

Collective Influence (CI)

comp_manipulate()

Computational manipulation of cells

cond.prob.analysis()

Conditional probability of deviation from means

degree()

Degree of the vertices

diff_data.assembly()

Assembling the differential/regression data

double.cent.assess()

Assessment of innate features and associations of two network centrality measures (dependent and independent)

double.cent.assess.noRegression()

Assessment of innate features and associations of two network centrality measures

exir()

Experimental data-based Integrated Ranking

exir.vis()

Visualization of ExIR results

graph_from_adjacency_matrix()

Creating igraph graphs from adjacency matrices

graph_from_data_frame()

Creating igraph graphs from data frames

graph_from_incidence_matrix()

Creating igraph graphs from incidence matrices

h_index()

H-index

hubness.score()

Hubness score

ivi()

Integrated Value of Influence (IVI)

ivi.from.indices()

Integrated Value of Influence (IVI)

lh_index()

local H-index (LH-index)

neighborhood.connectivity()

Neighborhood connectivity

runShinyApp()

Run shiny app

sif2igraph()

SIF to igraph

sirir()

SIR-based Influence Ranking

spreading.score()

Spreading score