CC-PROMISE statistics

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Citations per year

Number of citations per year for the bioinformatics software tool CC-PROMISE
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Tool usage distribution map

This map represents all the scientific publications referring to CC-PROMISE per scientific context
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Associated diseases

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CC-PROMISE specifications

Information


Unique identifier OMICS_26986
Name CC-PROMISE
Alternative names canonical correlation and projection onto the most interesting evidence, CCPROMISE
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
License GNU General Public License version 2.0
Computer skills Advanced
Version 1.6.0
Stability Stable
Requirements
methods, stats, Biobase, utils, R(>=3.3.0), GSEABase, CCP, PROMISE
Maintained Yes

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Versioning


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Documentation


Maintainers


  • person_outline Stanley Pounds
  • person_outline Xueyuan Cao

Publication for canonical correlation and projection onto the most interesting evidence

CC-PROMISE citation

library_books

Proceedings of the 15th Annual UT KBRIN Bioinformatics Summit 2016

2016
BMC Bioinformatics
PMCID: 5001208
PMID: 28166713
DOI: 10.1186/s12859-016-1154-y

[…] bilt University); “Porphyromonas gingivalis and the epithelial-to-mesenchymal transition (EMT): Signaling networks linking infection to cancer promotion” (Melissa Metzler, University of Louisville); “CC-PROMISE: Projection onto the most interesting statistical evidence (PROMISE) with canonical correlation to integrate gene expression and methylation data with multiple pharmacologic and clinical en […]


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CC-PROMISE institution(s)
Department of Biostatistics, St. Jude Children’s Research Hospital, Memphis, TN, USA; Department of Pharmaceutical Sciences, St. Jude Children’s Research Hospital, Memphis, TN, USA; Department of Pathology, St. Jude Children’s Research Hospital, Memphis, TN, USA; Department of Pharmacotherapy and Translational Research, University of Florida, Gainesville, FL, USA
CC-PROMISE funding source(s)
Supported by ALSAC and NIH grant R01-CA132946.

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