MICA: multiple interval-based curve alignment (eBook, 2018) [WorldCat.org]
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MICA: multiple interval-based curve alignment

Author: Martin RadenHans-Peter KahleMatthias BeckBela BenderHeinrich SpieckerAll authors
Publisher: Freiburg Universität 2018
Edition/Format:   eBook : Document : English
Summary:
Abstract: MICA enables the automatic synchronization of discrete data curves. To this end, characteristic points of the curves' shapes are identified. These landmarks are used within a heuristic curve registration approach to align profile pairs by mapping similar characteristics onto each other. In combination with a progressive alignment scheme, this enables the computation of multiple curve  Read more...
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Details

Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Martin Raden; Hans-Peter Kahle; Matthias Beck; Bela Bender; Heinrich Spiecker; Rolf Backofen; Albert-Ludwigs-Universität Freiburg Professur für Waldwachstum und Dendroökologie; Albert-Ludwigs-Universität Freiburg Professur für Bioinformatik; Albert-Ludwigs-Universität Freiburg Centre for Biological Signalling Studies; Zentrum für Biosystemanalyse; Albert-Ludwigs-Universität Freiburg
OCLC Number: 1039138064
In: SoftwareX
Notes: SoftwareX. 7 (2018), 53-58, DOI 10.1016/j.softx.2018.02.003, issn: 2352-7110
Description: Online-Ressource

Abstract:

Abstract: MICA enables the automatic synchronization of discrete data curves. To this end, characteristic points of the curves' shapes are identified. These landmarks are used within a heuristic curve registration approach to align profile pairs by mapping similar characteristics onto each other. In combination with a progressive alignment scheme, this enables the computation of multiple curve alignments.<br>Multiple curve alignments are needed to derive meaningful representative consensus data of measured time or data series. MICA was already successfully applied to generate representative profiles of tree growth data based on intra-annual wood density profiles or cell formation data.<br>The MICA package provides a command-line and graphical user interface. The R interface enables the direct embedding of multiple curve alignment computation into larger analyses pipelines. Source code, binaries and documentation are freely available at https://github.com/BackofenLab/MICA

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