lpe.var: A function evaluating LPE variance of data with replicates

Description Usage Arguments Details Value Author(s) References Examples

Description

A function evaluating LPE variance of data with replicates

Usage

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lpe.var(y, n.bin = n.bin, df = df)

Arguments

y

gene expressino whose variance to be estimated

n.bin

the number of bins

df

degree of freedom in smoothing (arg of smooth.spline())

Details

See the reference paper. See also Jain et al. (2003) Bioinformatics.

Value

matrix

evaluated LPE

Author(s)

Jungsoo Gim

References

J. Gim and T. Park, PLoS ONE under revision (http://bibs.snu.ac.kr/software/LPEseq)

Examples

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## Generating a replicated simulation dataset
simData <- generateData(n.deg=1000)

## Normalization
normData <- generateData(simData[,-7])

## Evaluating lpe object for each condition with replicates
lpe.x <- lpe.var(normData[,1:3], n.bin=100, df=10)
lpe.y <- lpe.var(normData[,4:6], n.bin=100, df=10)

iedenkim/LPEseq documentation built on May 27, 2019, 7:26 a.m.