gprege-package: gprege - Gaussian Process Ranking and Estimation of Gene...
In alkalait/gprege: Gaussian Process Ranking and Estimation of Gene Expression time-series
Description
Details
Author(s)
References
See Also
Examples
Description
This package implements the method of Kalaitzis and Lawrence (2011)
for Gaussian process modelling gene expression time-series data. The method can be
used to filter quiet genes and quantify differential expression in time-series expression ratios.
Details
Package: gprege
Type: Package
Version: 0.99.0
Date: 2011-07-08
License: A-GPL Version 3
For details of using the package please refer to the Vignette.
Author(s)
Alfredo A. Kalaitzis
Maintainer: Alfredo A. Kalaitzis <alkalait@gmail.com>
References
A.~A.~Kalaitzis and N.~D.~Lawrence.
A Simple Approach to Ranking Differentially Expressed Gene Expression Time Courses through Gaussian Process Regression
BMC Bioinformatics 2011, 12:180.
DOI:10.1186/1471-2105-12-180.
See Also
demGpCov2D, demGpSample, demInterpolation,
demOptimiseGp, demRegression
Examples
1
## see demTp63Gp1.R
alkalait/gprege documentation built on May 10, 2019, 9:18 a.m.
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Description Details Author(s) References See Also Examples
Description
This package implements the method of Kalaitzis and Lawrence (2011) for Gaussian process modelling gene expression time-series data. The method can be used to filter quiet genes and quantify differential expression in time-series expression ratios.
Details
| Package: | gprege |
| Type: | Package |
| Version: | 0.99.0 |
| Date: | 2011-07-08 |
| License: | A-GPL Version 3 |
For details of using the package please refer to the Vignette.
Author(s)
Alfredo A. Kalaitzis
Maintainer: Alfredo A. Kalaitzis <alkalait@gmail.com>
References
A.~A.~Kalaitzis and N.~D.~Lawrence. A Simple Approach to Ranking Differentially Expressed Gene Expression Time Courses through Gaussian Process Regression BMC Bioinformatics 2011, 12:180. DOI:10.1186/1471-2105-12-180.
See Also
demGpCov2D, demGpSample, demInterpolation,
demOptimiseGp, demRegression
Examples
1 | ## see demTp63Gp1.R
|
R Package Documentation
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