npGSEA statistics

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Citations per year

Number of citations per year for the bioinformatics software tool npGSEA
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Tool usage distribution map

This map represents all the scientific publications referring to npGSEA per scientific context
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Associated diseases

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Popular tool citations

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npGSEA specifications

Information


Unique identifier OMICS_08550
Name npGSEA
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
Computer skills Advanced
Version 1.16.0
Stability Stable
Requirements
limma, methods, stats, graphics, BiocGenerics, Biobase, BiocStyle, genefilter, hgu95av2.db, ALL, GSEABase(>=1.24.0), ReportingTools
Maintained Yes

Versioning


No version available

Documentation


Maintainer


  • person_outline Jessica Larson

Publication for npGSEA

library_books

Moment based gene set tests.

2015 BMC Bioinformatics
PMCID: 4419444
PMID: 25928861
DOI: 10.1186/s12859-015-0571-7

npGSEA citations

 (2)
library_books

Patient derived xenografts undergo murine specific tumor evolution

2017
Nat Genet
PMCID: 5659952
PMID: 28991255
DOI: 10.1038/ng.3967

[…] inter-lineage differences by including lineage as a covariate in the model. Gene set testing was performed using a parametric approximation to permutation-based testing, implemented in the R package npGSEA. Inter-lineage differences were controlled for by regressing lineage out of both the arm-level CNA calls and the variable of interest. […]

library_books

Overlapping Group Logistic Regression with Applications to Genetic Pathway Selection

2016
Cancer Inform
PMCID: 5026200
PMID: 27679461
DOI: 10.4137/CIN.S40043

[…] pproaches and regression models with respect to their implications for pathway selection. Thus, although a variety of extensions and refinements of GSEA have been proposed, such as GSEAlm, ROAST, and npGSEA, we restrict our attention here to GSEA, the most well-known and widely used method in this group.Finally, we provide a publicly available implementation of the OGLasso method described in this […]


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npGSEA institution(s)
Department of Bioinformatics and Computational Biology, Genentech, Inc, South San Francisco, USA

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