ptw-package: Parametric Time Warping
In ptw: Parametric Time Warping
Description
Details
Author(s)
References
Description
Parametric Time Warping aligns patterns, i.e. it aims to
put corresponding features at the same locations. The algorithm
searches for an optimal polynomial describing the warping. It
is possible to align one sample to a reference, several samples
to the same reference, or several samples to several
references. One can choose between calculating individual
warpings, or one global warping for a set of samples and one
reference. Two optimization criteria are implemented: RMS (Root
Mean Square error) and WCC (Weighted Cross Correlation). Both
warping of peak profiles and of peak lists are supported. A
vignette for the latter is contained in the inst/doc directory
of the source package - the vignette source can be found on
the package github site.
Details
The DESCRIPTION file:
This package was not yet installed at build time.
Author(s)
Jan Gerretzen [ctb],
Paul Eilers [aut],
Hans Wouters [ctb],
Tom Bloemberg [aut],
Ron Wehrens [aut, cre]
Maintainer: Ron Wehrens <ron.wehrens@gmail.com>
References
@ArticleBloemberg2010,
title = Improved Parametric Time Warping for Proteomics,
author = Tom G. Bloemberg and Jan Gerretzen and Hans J. P. Wouters and Jolein Gloerich and Maurice van Dael and Hans J. C. T. Wessels and Lambert P. van den Heuvel and Paul H. C. Eilers and Lutgarde M. C. Buydens and Ron Wehrens,
year = 2010,
journal = Chemometrics and Intelligent Laboratory Systems,
volume = 104,
number = 1,
pages = 65-74,
ArticleWehrens2015,
title = Fast parametric warping of peak lists,
author = Ron Wehrens and Tom G. Bloemberg and Paul H. C. Eilers,
year = 2015,
volume = 31,
pages = 3063–3065,
journal = Bioinformatics,
doi = 10.1093/bioinformatics/btv299,
ptw documentation built on Jan. 19, 2022, 5:07 p.m.
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Description Details Author(s) References
Description
Parametric Time Warping aligns patterns, i.e. it aims to put corresponding features at the same locations. The algorithm searches for an optimal polynomial describing the warping. It is possible to align one sample to a reference, several samples to the same reference, or several samples to several references. One can choose between calculating individual warpings, or one global warping for a set of samples and one reference. Two optimization criteria are implemented: RMS (Root Mean Square error) and WCC (Weighted Cross Correlation). Both warping of peak profiles and of peak lists are supported. A vignette for the latter is contained in the inst/doc directory of the source package - the vignette source can be found on the package github site.
Details
The DESCRIPTION file:
This package was not yet installed at build time.
Author(s)
Jan Gerretzen [ctb], Paul Eilers [aut], Hans Wouters [ctb], Tom Bloemberg [aut], Ron Wehrens [aut, cre]
Maintainer: Ron Wehrens <ron.wehrens@gmail.com>
References
@ArticleBloemberg2010, title = Improved Parametric Time Warping for Proteomics, author = Tom G. Bloemberg and Jan Gerretzen and Hans J. P. Wouters and Jolein Gloerich and Maurice van Dael and Hans J. C. T. Wessels and Lambert P. van den Heuvel and Paul H. C. Eilers and Lutgarde M. C. Buydens and Ron Wehrens, year = 2010, journal = Chemometrics and Intelligent Laboratory Systems, volume = 104, number = 1, pages = 65-74,
ArticleWehrens2015, title = Fast parametric warping of peak lists, author = Ron Wehrens and Tom G. Bloemberg and Paul H. C. Eilers, year = 2015, volume = 31, pages = 3063–3065, journal = Bioinformatics, doi = 10.1093/bioinformatics/btv299,
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