analysis

color.lightening

CoopLassoConstraint

draw.arc

draw.edges

draw.circle

draw.sector

draw.loops

draw.rot.poly

get.rho.max

getDegree

Gplot

Gplot.add

Gplot.default

Gplot.delete

Gplot.edge

Gplot.graphics

Gplot.inference

Gplot.network

Gplot.pie.nodes

Gplot.radial.vertex.label

Gplot.vertex

Gplot.vertex.label

Gplot.vertex.pie

graphical.lasso

GroupLassoConstraint

InferEdges

InferStructure

is.simone

is.simone.network

is.symetric

isolate.vertices

laplacian

LassoConstraint

light.palette

multiple.dynamic

multiple.static

nb.edges

neighborhood.selection

OptInference

plot.path

plot.BIC

plot.AIC

plot.ROC

plot.PR

plot.sequence

sub.param

var1.inference

internal

simone-internal

Implements the inference of
co-expression networks based on partial correlation
coefficients from either steady-state or time-course
transcriptomic data. Note that with both type of data this
package can deal with samples collected in different
experimental conditions and therefore not identically
distributed. In this particular case, multiple but related
networks are inferred on one simone run.

Julien Chiquet

simone

Statistical Inference for MOdular NEtworks (SIMoNe)

Gilles Grasseau

Christophe Ambroise

Camille Charbonnier

Alexander Smith

Catherine Matias

simone-internal function

'simone' internal functions — simone-internal

'simone' internal functions

simone-internal: 'simone' internal functions

Description

Arguments

Details