Cargando…
Order restricted inference for oscillatory systems for detecting rhythmic signals
Motivation: Many biological processes, such as cell cycle, circadian clock, menstrual cycles, are governed by oscillatory systems consisting of numerous components that exhibit rhythmic patterns over time. It is not always easy to identify such rhythmic components. For example, it is a challenging p...
Autores principales: | Larriba, Yolanda, Rueda, Cristina, Fernández, Miguel A., Peddada, Shyamal D. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5159537/ https://www.ncbi.nlm.nih.gov/pubmed/27596593 http://dx.doi.org/10.1093/nar/gkw771 |
Ejemplares similares
-
Frequency Modulated Möbius Model Accurately Predicts Rhythmic Signals in Biological and Physical Sciences
por: Rueda, Cristina, et al.
Publicado: (2019) -
A Bootstrap Based Measure Robust to the Choice of Normalization Methods for Detecting Rhythmic Features in High Dimensional Data
por: Larriba, Yolanda, et al.
Publicado: (2018) -
Determination of Temporal Order among the Components of an Oscillatory System
por: Barragán, Sandra, et al.
Publicado: (2015) -
Principal component analysis-based filtering improves detection for Affymetrix gene expression arrays
por: Lu, Jun, et al.
Publicado: (2011) -
Order-restricted inference for ordered gene expression (ORIOGEN) data under heteroscedastic variances
por: Simmons, Susan J, et al.
Publicado: (2007)