2026-04-14T19:49:33Zhttps://uvadoc.uva.es/oai/request

oai:uvadoc.uva.es:10324/259482021-06-23T10:10:57Zcom_10324_1151com_10324_931com_10324_894col_10324_1280

Larriba González, Yolanda Rueda Sabater, María Cristina Fernández Temprano, Miguel Alejandro Peddada, Shyamal 2017-09-27T08:37:40Z 2017-09-27T08:37:40Z 2017 IV Congreso de Jóvenes Investigadores en Diseño de Experimentos y Bioestadística. Salamanca: Universidad de Salamanca, 2017 http://uvadoc.uva.es/handle/10324/25948 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. eng info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-nd/4.0/ Attribution-NonCommercial-NoDerivatives 4.0 International A normalization-robust bootstrap-based rhythmicity measure to detect rhythmic genes in oscillatory systems info:eu-repo/semantics/conferenceObject