Description Details Author(s) References See Also Examples
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.
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.
Alfredo Kalaitzis
Maintainer: Alfredo Kalaitzis <alkalait@gmail.com>
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.
demGpCov2D, demGpSample, demInterpolation,
demOptimiseGp, demRegression
1 | ## see demTp63Gp1.R
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