scalingfn: Scaling of data
In gnyamundanda/exploBATCH: Explore batch effect (exploBATCH) is a package for discovering and correcting for batch effect using an approach in Nyamundanda et al (2017).
Description
Usage
Arguments
Details
Value
Author(s)
References
Examples
Description
Scaling of data
Usage
1
Arguments
Y
Expression data
type
Type of scaling
Details
Scaling of data
Value
Scaling of data
Author(s)
Nyamundanda, G., Poudel, P., Patil, Y. and Sadanandam, A.
References
Nyamundanda, G., Poudel, P., Patil, Y. and Sadanandam, A., 2017. A novel and robust statistical method to diagnose and correct batch effects in genomic data.
Examples
1
2
3
##---- Should be DIRECTLY executable !! ----
##-- ==> Define data, use random,
##-- or do help(data=index) for the standard data sets.
gnyamundanda/exploBATCH documentation built on May 20, 2019, 3:31 p.m.
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Description Usage Arguments Details Value Author(s) References Examples
Description
Scaling of data
Usage
1 |
Arguments
Y |
Expression data |
type |
Type of scaling |
Details
Scaling of data
Value
Scaling of data
Author(s)
Nyamundanda, G., Poudel, P., Patil, Y. and Sadanandam, A.
References
Nyamundanda, G., Poudel, P., Patil, Y. and Sadanandam, A., 2017. A novel and robust statistical method to diagnose and correct batch effects in genomic data.
Examples
1 2 3 | ##---- Should be DIRECTLY executable !! ----
##-- ==> Define data, use random,
##-- or do help(data=index) for the standard data sets.
|
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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