gprege - Gaussian Process Ranking and Estimation of Gene Expression.

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

For details of using the package please refer to the Vignette.

Author(s)

Alfredo A. Kalaitzis

Maintainer: Alfredo A. Kalaitzis <a.kalaitzis@ucl.ac.uk>

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

## see demTp63Gp1.R

Results