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chevron_left Differential expression detection Data preprocessing Time course chevron_right
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gprege specifications

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Unique identifier OMICS_02011
Name gprege
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
License GNU Affero General Public License version 3
Computer skills Advanced
Version 1.24.0
Stability Stable
Requirements
R(>=2.10), gptk, spam
Maintained Yes

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Documentation


Publication for gprege

gprege citations

 (2)
library_books

Identification of potential new treatment response markers and therapeutic targets using a Gaussian process based method in lapatinib insensitive breast cancer models

2017
PMCID: 5421758
PMID: 28481952
DOI: 10.1371/journal.pone.0177058

[…] differentially expressed genes in each simulated dataset. two of these methods, ttest & ranksum test, are widely used to analyse static gene expression data. the other two methods, geagp and gprege [], use gp to analyse temporal expression profiles. the main differences between geagp and gprege [] are the following: geagp directly estimates the mean functions of the gp from data, whereas […]

library_books

Protein biogenesis machinery is a driver of replicative aging in yeast

2015
PMCID: 4718733
PMID: 26422514
DOI: 10.7554/eLife.08527.050

[…] these were: (i) starting from the replicate datasets, the gene expression time series of both the transcriptome and proteome were filtered to remove flat and/or noisy profiles using the r package gprege (). (ii) the gene product networks (i.e transcriptome or proteome) were generated, based on the gene profiles of the respective time course datasets, using the r package genenet (; ). […]


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gprege institution(s)
The Sheffield Institute for Translational Neuroscience, Sheffield, UK

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