LPEseq.normalise: A function Normalising input data according to their total...
In JungsooGIM/LPEseq: LPEseq: local-pooled-error test for RNA-seq data with a small number of replicates
Description
Usage
Arguments
Details
Value
Author(s)
References
Examples
Description
A function Normalising input data according to their total count values
Usage
1
LPEseq.normalise(expr_dat, method = "mean")
Arguments
expr_dat
count value matrix (not necessarily to be count matrix; FPKM or RPKM can be applied)
method
one of c("mean", "median") for summary of the column sums (default "mean")
Details
See the reference paper
Value
matrix
log2 transformed normalized matrix
Author(s)
Jungsoo Gim
References
J. Gim and T. Park, PLoS ONE under revision (http://bibs.snu.ac.kr/software/LPEseq)
Examples
1
2
3
4
5
## Generating simulation datasets
simData <- generateData(n.deg=1000, n.rep=5)
## Normalization
normData <- LPEseq.normalise(simData[,-11])
JungsooGIM/LPEseq documentation built on May 16, 2019, 10:04 a.m.
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Description Usage Arguments Details Value Author(s) References Examples
Description
A function Normalising input data according to their total count values
Usage
1 | LPEseq.normalise(expr_dat, method = "mean")
|
Arguments
expr_dat |
count value matrix (not necessarily to be count matrix; FPKM or RPKM can be applied) |
method |
one of c("mean", "median") for summary of the column sums (default "mean") |
Details
See the reference paper
Value
matrix |
log2 transformed normalized matrix |
Author(s)
Jungsoo Gim
References
J. Gim and T. Park, PLoS ONE under revision (http://bibs.snu.ac.kr/software/LPEseq)
Examples
1 2 3 4 5 | ## Generating simulation datasets
simData <- generateData(n.deg=1000, n.rep=5)
## Normalization
normData <- LPEseq.normalise(simData[,-11])
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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