CosinorPy: a python package for cosinor-based rhythmometry

Background Even though several computational methods for rhythmicity detection and analysis of biological data have been proposed in recent years, classical trigonometric regression based on cosinor still has several advantages over these methods and is still widely used. Different software packages...

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Veröffentlicht in:	BMC bioinformatics Jg. 21; H. 1; S. 1 - 12
1. Verfasser:	Moskon, Miha
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London BioMed Central 29.10.2020 BioMed Central Ltd Springer Nature B.V BMC
Schlagworte:	Algorithms Analysis and modelling of complex systems Applications software Bioinformatics Biological analysis Biological research Biomedical and Life Sciences Chronobiology Circadian analysis Circadian rhythm Circadian rhythms Computational biology Computational Biology/Bioinformatics Computer Appl. in Life Sciences Computer applications Computer programs Cosinor Data analysis Design of experiments Life Sciences Methods Microarrays Python Python (Programming language) Regression Regression analysis Regression models Rhythmicity analysis Rhythms Software Software packages Statistical analysis Time series Slovenia Rhythmicity analysis Regression Circadian analysis Cosinor Python
ISSN:	1471-2105, 1471-2105
Online-Zugang:	Volltext
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