Confidence in Phase Definition for Periodicity in Genes Expression Time Series.
Where this comes from
- Record sourced from PubMed, PMID 26161537.
- Also identified by DOI 10.1371/journal.pone.0131111 and PMC identifier 4498625.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
Circadian oscillation in baseline gene expression plays an important role in the regulation of multiple cellular processes. Most of the knowledge of circadian gene expression is based on studies measuring gene expression over time. Our ability to dissect molecular events in time is determined by the sampling frequency of such experiments. However, the real peaks of gene activity can be at any time on or between the time points at which samples are collected. Thus, some genes with a peak activity near the observation point have their phase of oscillation detected with better precision then those which peak between observation time points. Separating genes for which we can confidently identify peak activity from ambiguous genes can improve the analysis of time series gene expression. In this study we propose a new statistical method to quantify the phase confidence of circadian genes. The numerical performance of the proposed method has been tested using three real gene expression data sets.
Medical subject headings
- Adipose Tissue, Brown
- Adipose Tissue, Brown/metabolism
- Adipose Tissue, White
- Adipose Tissue, White/metabolism
- Algorithms
- Animals
- Circadian Rhythm
- Circadian Rhythm/genetics
- Gene Expression Profiling
- Gene Expression Profiling/methods
- Liver
- Liver/metabolism
- Mice
- Models, Genetic
- Reproducibility of Results
- Time Factors