Robust detection of periodic time series measured from biological systems.
about
Reproducibility and Temporal Structure in Weekly Resting-State fMRI over a Period of 3.5 YearsThe analytical landscape of static and temporal dynamics in transcriptome dataHigh-resolution transcription atlas of the mitotic cell cycle in budding yeastCyclebase.org a comprehensive multi-organism online database of cell-cycle experimentsThe more the merrier: comparative analysis of microarray studies on cell cycle-regulated genes in fission yeastSpatiotemporal Segregation of Neural Response to Auditory Stimulation: An fMRI Study Using Independent Component Analysis and Frequency-Domain Analysis.Digital signal processing reveals circadian baseline oscillation in majority of mammalian genesSpectral analysis on time-course expression data: detecting periodic genes using a real-valued iterative adaptive approach.Quantifying periodicity in omics data.Spectral estimation in unevenly sampled space of periodically expressed microarray time series dataRobust regression for periodicity detection in non-uniformly sampled time-course gene expression data.System-driven and oscillator-dependent circadian transcription in mice with a conditionally active liver clock.Gene expression model (in)validation by Fourier analysisStatistical methods for detecting periodic fragments in DNA sequence dataTime-course analysis of cyanobacterium transcriptome: detecting oscillatory genes.Detecting novel associations in large data sets.Periodicity detection method for small-sample time series datasets.Analysis of tiling array expression studies with flexible designs in Bioconductor (waveTiling)The transcriptional and gene regulatory network of Lactococcus lactis MG1363 during growth in milkPersonal genomes, quantitative dynamic omics and personalized medicineDetecting periodic genes from irregularly sampled gene expressions: a comparison study.Spectral preprocessing for clustering time-series gene expressions.How to cluster gene expression dynamics in response to environmental signals.Computational modeling of the cell-autonomous mammalian circadian oscillator.DynOmics to identify delays and co-expression patterns across time course experiments.Circadian control of global gene expression patterns.True or false: all genes are rhythmic.Identifying genes involved in cyclic processes by combining gene expression analysis and prior knowledge.Differing contributions of density dependence and climate to the population dynamics of three eruptive herbivores
P2860
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P2860
Robust detection of periodic time series measured from biological systems.
description
2005 nî lūn-bûn
@nan
2005 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2005 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2005年の論文
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2005年学术文章
@wuu
2005年学术文章
@zh-cn
2005年学术文章
@zh-hans
2005年学术文章
@zh-my
2005年学术文章
@zh-sg
2005年學術文章
@yue
name
Robust detection of periodic time series measured from biological systems
@nl
Robust detection of periodic time series measured from biological systems.
@ast
Robust detection of periodic time series measured from biological systems.
@en
type
label
Robust detection of periodic time series measured from biological systems
@nl
Robust detection of periodic time series measured from biological systems.
@ast
Robust detection of periodic time series measured from biological systems.
@en
prefLabel
Robust detection of periodic time series measured from biological systems
@nl
Robust detection of periodic time series measured from biological systems.
@ast
Robust detection of periodic time series measured from biological systems.
@en
P2860
P50
P356
P1433
P1476
Robust detection of periodic time series measured from biological systems.
@en
P2093
Heikki Huttunen
Ron Pearson
P2860
P2888
P356
10.1186/1471-2105-6-117
P407
P577
2005-05-13T00:00:00Z
P5875
P6179
1042276941