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DEDS specifications

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Unique identifier OMICS_02002
Name DEDS
Alternative name Differential Expression via Distance Summary
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
License GNU Lesser General Public License version 3.0
Computer skills Advanced
Version 1.54.0
Stability Stable
Requirements
R(>=1.7.0)
Maintained Yes

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Documentation


DEDS citations

 (2)
library_books

The Ability of Different Imputation Methods to Preserve the Significant Genes and Pathways in Cancer

2017
PMCID: 5828654
PMID: 29247873
DOI: 10.1016/j.gpb.2017.08.003

[…] for their ability to detect the crucial genes involved in cancers. five well-known methods were applied to acquire the significant genes from the original and imputed datasets. these include the differential expression via distance summary (deds) , empirical bayes analyses of microarrays (ebam) , limma , multiple testing (multtest) , , and significance analysis of microarrays (sam) , […]

library_books

Pathway Centric Integrative Analysis Identifies RRM2 as a Prognostic Marker in Breast Cancer Associated with Poor Survival and Tamoxifen Resistance123

2014
PMCID: 4198742
PMID: 25016594
DOI: 10.1016/j.neo.2014.05.007

[…] luminal and basal subtypes coupled with false discovery rate (fdr) adjustment (adjusted p values < .2) using the benjamini hochberg (bh) method along with estimated fold change using the differential expression via distance summary (deds) package ., in this study, we used this gene expression data set (termed national cancer institute data set, gse37751) for 46 matched bca tissues […]


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