ttScreening-package: Genome-Wide DNA Methylation Sites Screening by Use of...
In ttScreening: Genome-Wide DNA Methylation Sites Screening by Use of Training and Testing Samples
Description
Details
Author(s)
References
See Also
Description
A screening process to filter out non-informative DNA methylation sites by applying (ordinary or robust) linear regressions to training data, and the results are further examined using testing samples. Surrogate variables are included to account for unknown factors.
Details
Package: ttScreening
Type: Package
Version: 1.6
Date: 2018-09-18
License: Artistic-2.0
This package utilizes training and testing samples to filter out uninformative DNA methylation
sites. Surrogate variables (SVs) of DNA methylation are included in the filtering process
to explain unknown factor effects.
Author(s)
Meredith Ray, Xin Tong, Hongmei Zhang
Maintainer: Meredith Ray <maray@memphis.edu>
References
Ray MA, Tong X, Lockett GA, Zhang H, and Karmaus WJJ. (2016) “An Efficient Approach to Screening Epigenome-Wide Data”, BioMed Research International.
Leek JT and Storey JD. (2007) “Capturing heterogeneity in gene expression studies by ‘Surrogate Variable Analysis’.” PLoS Genetics, 3: e161.
See Also
ttScreening documentation built on May 2, 2019, 2:51 p.m.
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Description Details Author(s) References See Also
Description
A screening process to filter out non-informative DNA methylation sites by applying (ordinary or robust) linear regressions to training data, and the results are further examined using testing samples. Surrogate variables are included to account for unknown factors.
Details
| Package: | ttScreening |
| Type: | Package |
| Version: | 1.6 |
| Date: | 2018-09-18 |
| License: | Artistic-2.0 |
This package utilizes training and testing samples to filter out uninformative DNA methylation sites. Surrogate variables (SVs) of DNA methylation are included in the filtering process to explain unknown factor effects.
Author(s)
Meredith Ray, Xin Tong, Hongmei Zhang
Maintainer: Meredith Ray <maray@memphis.edu>
References
Ray MA, Tong X, Lockett GA, Zhang H, and Karmaus WJJ. (2016) “An Efficient Approach to Screening Epigenome-Wide Data”, BioMed Research International.
Leek JT and Storey JD. (2007) “Capturing heterogeneity in gene expression studies by ‘Surrogate Variable Analysis’.” PLoS Genetics, 3: e161.
See Also
R Package Documentation
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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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