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Anne M. Curtis

dblp:90/7069 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2008
0000-0002-9601-9624ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 50% Computational science and engineering · 50%
Computer graphics and multimedia
1 paper
Audio and music processing · 50% Image and video processing · 50%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
circadian rhythm analysis
0.112008
WAVECLOCK: wavelet analysis of circadian oscillation · Bioinform. 2008
Computational science and engineering › dynamical systems
oscillator analysis
0.112008
WAVECLOCK: wavelet analysis of circadian oscillation · Bioinform. 2008
Audio and music processing
time-frequency analysis
0.112008
WAVECLOCK: wavelet analysis of circadian oscillation · Bioinform. 2008
Image and video processing › wavelet transform
wavelet decomposition
0.112008
WAVECLOCK: wavelet analysis of circadian oscillation · Bioinform. 2008

Methods — techniques the papers use, named apart from their topics

non-parametric modeling · 0.2continuous wavelet transform · 0.2
YearPublicationVenuePosition
2008 WAVECLOCK: wavelet analysis of circadian oscillation
abstract
UNLABELLED: Oscillations in mRNA and protein of circadian clock components can be continuously monitored in vitro using synchronized cell lines. These rhythms can be highly variable due to culture conditions and are non-stationary due to baseline trends, damping and drift in period length. We present a technique for characterizing the modal frequencies of oscillation using continuous wavelet decomposition to non-parametrically model changes in amplitude and period while removing baseline effects and noise. AVAILABILITY: The method has been implemented as the package waveclock for the free statistical software program R and is available for download from http://cran.r-project.org/
Thomas S. Price, Julie E. Baggs, Anne M. Curtis, Garret A. FitzGerald, John B. Hogenesch
Bioinform.3