2024-03-29T09:09:19Zhttps://uvadoc.uva.es/oai/requestoai:uvadoc.uva.es:10324/259482021-06-23T10:10:57Zcom_10324_1151com_10324_931com_10324_894col_10324_1280
A normalization-robust bootstrap-based rhythmicity measure to detect rhythmic genes in oscillatory systems
IV Congreso de Jóvenes Investigadores en Diseño de Experimentos y Bioestadística
Larriba González, Yolanda
Rueda Sabater, María Cristina
Fernández Temprano, Miguel Alejandro
Peddada, Shyamal
Microarray gene expression data are extremely noisy. Normalization is widely regarded as an essential step before data analysis to remove systematic variations while maintaining biological signals of interest. However, the choice of normalization may substantially impact the detection of rhythmic genes in oscillatory systems. We introduce a rhythmicity measure and a bootstrap methodology to detect rhythmic genes robust with respect to the normalization choice.
MINECO grant MTM2015-71217-R
Ministerio de Educación, Cultura y Deporte grant FPU14/04534
2017-09-27T08:37:40Z
2017-09-27T08:37:40Z
2017
info:eu-repo/semantics/conferenceObject
IV Congreso de Jóvenes Investigadores en Diseño de Experimentos y Bioestadística. Salamanca: Universidad de Salamanca, 2017
http://uvadoc.uva.es/handle/10324/25948
eng
Attribution-NonCommercial-NoDerivatives 4.0 International
info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-nd/4.0/
application/pdf