<p><b>Copyright information:</b></p><p>Taken from "Robust regression for periodicity detection in non-uniformly sampled time-course gene expression data"</p><p>http://www.biomedcentral.com/1471-2105/8/233</p><p>BMC Bioinformatics 2007;8():233-233.</p><p>Published online 2 Jul 2007</p><p>PMCID:PMC1934414.</p><p></p>led according to the experimental mussel data. The sampling of the second time series (c) is an artificially deteriorated version of the first one. The corresponding spectral estimates, (b) and (d), include the ideal periodogram (Ideal periodogram), as if the time series was sampled uniformly and had no added noise, the periodogram of the samples (Periodogram). ignoring time indices, and the M-estimate (Robust (M) estimator)
Oscillations play a significant role in biological systems, with many examples in the fast, ultradia...
Precise determination of a noisy biological oscillator's period from limited experimental data can b...
Background: As time series experiments in higher eukaryotes usually obtain data from different indiv...
Copyright © 2013 Kwadwo S. Agyepong et al. This is an open access article distributed under the Crea...
Motivation: Identifying periodically expressed genes across different processes such as the cell cy-...
Time series of gene expression often exhibit periodic behavior under the influence of multiple signa...
Abstract Background Time-course gene expression analysis has become important in recent developments...
Motivation: Microarray experiments are now routinely used to collect large-scale time series data, f...
Motivation: There is a substantial body of works in the biology literature that seeks to characteriz...
Estimation of the period length of time-course data from cyclical biological processes, such as thos...
Abstract: Many cellular processes exhibit periodic behaviors. Hence, one of the important tasks in g...
Motivation: Gene-expression data obtained from high throughput technologies are subject to various s...
Abstract Background Modern high-throughput measurement technologies such as DNA microarrays and next...
Abstract Background ...
Detecting periodic patterns in unevenly spaced gene expression time series using Lomb–Scargle period...
Oscillations play a significant role in biological systems, with many examples in the fast, ultradia...
Precise determination of a noisy biological oscillator's period from limited experimental data can b...
Background: As time series experiments in higher eukaryotes usually obtain data from different indiv...
Copyright © 2013 Kwadwo S. Agyepong et al. This is an open access article distributed under the Crea...
Motivation: Identifying periodically expressed genes across different processes such as the cell cy-...
Time series of gene expression often exhibit periodic behavior under the influence of multiple signa...
Abstract Background Time-course gene expression analysis has become important in recent developments...
Motivation: Microarray experiments are now routinely used to collect large-scale time series data, f...
Motivation: There is a substantial body of works in the biology literature that seeks to characteriz...
Estimation of the period length of time-course data from cyclical biological processes, such as thos...
Abstract: Many cellular processes exhibit periodic behaviors. Hence, one of the important tasks in g...
Motivation: Gene-expression data obtained from high throughput technologies are subject to various s...
Abstract Background Modern high-throughput measurement technologies such as DNA microarrays and next...
Abstract Background ...
Detecting periodic patterns in unevenly spaced gene expression time series using Lomb–Scargle period...
Oscillations play a significant role in biological systems, with many examples in the fast, ultradia...
Precise determination of a noisy biological oscillator's period from limited experimental data can b...
Background: As time series experiments in higher eukaryotes usually obtain data from different indiv...