RT info:eu-repo/semantics/conferenceObject
T1 A normalization-robust bootstrap-based rhythmicity measure to detect rhythmic genes in oscillatory systems
A1 Larriba González, Yolanda
A1 Rueda Sabater, María Cristina
A1 Fernández Temprano, Miguel Alejandro
A1 Peddada, Shyamal
AB 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.
YR 2017
FD 2017
LK http://uvadoc.uva.es/handle/10324/25948
UL http://uvadoc.uva.es/handle/10324/25948
LA eng
NO IV Congreso de Jóvenes Investigadores en Diseño de Experimentos y Bioestadística. Salamanca: Universidad de Salamanca, 2017
DS UVaDOC
RD 20-abr-2024