2024-03-29T01:34:32Zhttps://uvadoc.uva.es/oai/requestoai:uvadoc.uva.es:10324/135292021-06-18T10:41:16Zcom_10324_38col_10324_787
A new method for detection of cyclic circadian genes using order restricted inference
Larriba González, Yolanda
Rueda Sabater, María Cristina
Fernández Temprano, Miguel Alejandro
Identification of periodic patterns in gene expression data is important for studying
the regulation mechanism of the circadian system. The information available is
often given only by one or two cycles. Consequently, the number of observations is
not enough to fit certain models, such as Fourier's models, properly. Some authors
have already developed procedures or algorithms among which the JTK CYCLE
algorithm is the most popular one.
We propose a new method to identify cyclic gene expressions based on euclidean
and circular order restricted inference. Validation of the method is made through
real data sets and simulations. Moreover, we compare the results obtained by the
method with other detecting methods developed in the literature.
2015
info:eu-repo/semantics/masterThesis
eng
Departamento de Estadística e Investigación Operativa
http://uvadoc.uva.es/handle/10324/13529
https://uvadoc.uva.es/bitstream/10324/13529/1/TFM-G407.pdf
61b480afec8347c952a05378775de9d4
https://uvadoc.uva.es/bitstream/10324/13529/5/license.txt
909e634ba52becf192e4e9b4bcde7863
Attribution-NonCommercial-NoDerivatives 4.0 International
Algoritmo JTK Cycle
Ciclo circadiano - Expresión génica