LPEseq.outlier: A function removing outliers

In iedenkim/LPEseq: LPEseq: local-pooled-error test for RNA-seq data with a small number of replicates

Description

A function removing outliers for evaluating non-repliated RNA-seq data

Usage

LPEseq.outlier(expr_dat, d = d)

Arguments

expr_dat	expression data with non-replicate per each condition
d	expression difference between condition (log2 scaled)

Details

See the reference paper

Value

matrix

intput matrix outlier-removed

Author(s)

Jungsoo Gim

References

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

Examples

## Generating a non-replicated simulation dataset
simData.norep <- generateData(n.deg=1000, n.rep=1)

## Normalization
normData.norep <- LPEseq.normalise(simData.norep[,-3])

## Removing outliers
normData.inuse <- LPEseq.outlier(normData.norep, d = 1.2)

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