dcgain: Differential coexpression genetic association interaction...

In insilico/npdro: Nearest-neighbor Projected-Distance Regression Optimized

Differential coexpression genetic association interaction network (dcGAIN) algorithm.

Description

dcgain

Usage

dcgain(labelledDataFrame, computeDiagP = FALSE, verbose = FALSE)

Arguments

labelledDataFrame	data.frame with samples in rows, variables in columns and classLabel in the last column.
computeDiagP	logical to use t-test for diagonal P-value (TRUE) or one (FLASE).
verbose	logical to send messages to stdout.

Value

results matrix of variable by variable differential coexpression values.

References

• http://www.biodatamining.org/content/8/1/5 Differential co-expression network centrality and machine learning feature selection for identifying susceptibility hubs in networks with scale-free structure

• https://github.com/hexhead/inbixC++ inbix on github

See Also

dmgain for differential modularity. dcgainInbix for inbix differential coexpression GAIN.

Other GAIN functions: dmgain(), fitInteractionModel(), fitMainEffectModel(), gainToSimpleSIF(), getInteractionEffects(), getMainEffects(), regainParallel(), regain()

Other inbix synonym functions: getMainEffects(), regainParallel(), regain()

Examples

data(testdata10)
rinbixDcgain <- dcgain(testdata10)

insilico/npdro documentation built on July 1, 2023, 2:56 p.m.