RT info:eu-repo/semantics/conferenceObject
T1 Influence of microarray normalization strategies and rhythmicity detection algorithms to detect circadian rhythms
A1 Larriba González, Yolanda
A1 Rueda Sabater, María Cristina
A1 Fernández Temprano, Miguel Alejandro
A1 Peddada, Shyamal
AB High-throughput microarray technologies are a widely used research tool in gene expression analysis. A large variety of preprocessing methodsfor raw intensity measures is available to establish gene expression values. Normalization is the key stage in preprocessing methods, since itremoves systematic variations in microarray data. Then, the choice of the normalization strategy can make a substantial impact to the final results.Additionally, we have observed that the identification of rhythmic circadian genes depends not only on the normalization strategy but also onthe rhythmicity detection algorithm employed. We analyze three different rhythmicity detection algorithms. On the one hand, JTK and RAINwhich are widely extended among biologists. On the other hand, ORIOS, a novel statistical methodology which heavily relies on Order RestrictedInference and that we propose to detect rhythmic signal for Oscillatory Systems. Results on the determination of circadian rhythms are comparedusing artificial microarray data and publicly available circadian data bases.
YR 2016
FD 2016
LK http://uvadoc.uva.es/handle/10324/22936
UL http://uvadoc.uva.es/handle/10324/22936
LA eng
DS UVaDOC
RD 27-dic-2024