PACK specifications

Information


Unique identifier OMICS_14498
Name PACK
Alternative name Profile Analysis using Clustering and Kurtosis
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 0.3
Stability Stable
Maintained Yes

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Versioning


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Maintainer


  • person_outline Andrew Teschendorff

Publication for Profile Analysis using Clustering and Kurtosis

PACK citations

 (2)
library_books

Outlier analysis of functional genomic profiles enriches for oncology targets and enables precision medicine

2016
BMC Genomics
PMCID: 4907009
PMID: 27296290
DOI: 10.1186/s12864-016-2807-y

[…] together they would provide a more complete set of outliers and outlier genes than any single algorithm. The first two methods were originally developed for outlier analysis of gene expression data: Profile Analysis using Clustering and Kurtosis (PACK) [], and Outlier Sum (OS) []. PACK is a model-based pattern recognition algorithm for discovering bimodal distribution, which first determines the […]

library_books

Detection of Patient Subgroups with Differential Expression in Omics Data: A Comprehensive Comparison of Univariate Measures

2013
PLoS One
PMCID: 3838370
PMID: 24278130
DOI: 10.1371/journal.pone.0079380

[…] for pairs of genes with mutually exclusive outlier samples. For the above mentioned reasons, we focus on univariate methods and do not consider COPA in our work . proposed a two-step procedure called profile analysis using clustering and kurtosis (PACK), which consists of a preselection step to identify variables of interest and the subsequent computation of the kurtosis to characterize the subgro […]

PACK institution(s)
Cancer Genomics Program, Department of Oncology, University of Cambridge, Hutchison-MRC Research Centre, Cambridge, UK; Institute of Molecular Medicine, Faculty of Medicine, University of Lisbon, Lisbon, Portugal
PACK funding source(s)
This work was funded by grants from Cancer Research UK and Isaac Newton Trust. It was also supported by Fellowship PRAXIS XXI SFRH/BD/2914/2000 from Fundação para a Ciência e a Tecnologia/European Social Fund.

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