bioCL: A vector identifying tumor and normal samples in the colon...
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
Format
Details
Source
References
Examples
Description
A vector identifying tumor and normal samples in the colon dataset.
Usage
1
data("bioCL")
Format
The format is:
num [1:112] 2 2 2 2 2 2 2 2 2 2 ...
Details
A vector identifying tumor and normal samples in the colon dataset.
Source
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.
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
gnyamundanda/exploBATCH documentation built on May 20, 2019, 3:31 p.m.
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Description Usage Format Details Source References Examples
Description
A vector identifying tumor and normal samples in the colon dataset.
Usage
1 | data("bioCL")
|
Format
The format is: num [1:112] 2 2 2 2 2 2 2 2 2 2 ...
Details
A vector identifying tumor and normal samples in the colon dataset.
Source
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.
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 |
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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