RRegrs statistics

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Associated diseases

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RRegrs specifications

Information


Unique identifier OMICS_10084
Name RRegrs
Software type Package/Module
Interface Command line interface
Restrictions to use None
Output data CSV files for statistics, PDF files for plots
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
Computer skills Advanced
Version 0.0.5
Stability Stable
Requirements
caret, corrplot, rtools, rregrs
Maintained Yes

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Documentation


Maintainer


  • person_outline Georgia Tsiliki <>

Publication for RRegrs

RRegrs in publications

 (3)
PMCID: 5643473
PMID: 29038520
DOI: 10.1038/s41598-017-13691-8

[…] channel nanotoxicity, new non-linear classification and regression models were proposed. these non-linear pt-nqsbr models are based on machine learning algorithms implemented on weka and rregrs (r package)–. the present work could pave the way for the use of chemo-informatics tools based on swcnt-ligand and mitotarget docking interactions for making regulatory decisions […]

PMCID: 4962052
PMID: 27460882
DOI: 10.1038/srep30174

[…] cases under the same experimental conditions., , thus, y(ζk)exp, vg(ζk) and δvg(ζk) were employed as input variables to develop a new machine learning predictive model using statistica 6.0 and rregrs package., the first tested method was the general multilinear regression (grm) from statistica. the model predicted the effects of spatiotemporal perturbations of ghrelin and ghr mrna […]

PMCID: 5136129
PMID: 27920952
DOI: 10.7717/peerj.2721

[…] as those techniques are complex systems that require further study to be fully understood. a methodology commonly accepted in computational intelligence is implemented in an r package called rregrs. this package includes ten simple and complex regression models to carry out predictive modeling using machine learning and well-known regression algorithms. the framework for experimental […]


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RRegrs institution(s)
School of Chemical Engineering, National Technical University of Athens, Zografou Campus, Athens, Greece; Computer Science Faculty, University of A Coruna, Campus Elviña, s/n, A Coruña, Spain; Department of Bioinformatics-BiGCaT, NUTRIM, Maastricht University, Maastricht, Netherlands; Stanford Cancer Institute, Stanford University, C.J.Huang Building, Palo Alto, CA, USA; Computer Science Faculty, University of A Coruna, Campus Elviña, s/n, A Coruña, Spain; Department of Bioinformatics-BiGCaT, NUTRIM, Maastricht University, Maastricht, Netherlands

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