Detecting Circadian Genes from Microarray

LAYANA C.; DIAMBRA L

Montevideo

Conferencia; ISCB Latin America 2010; 2010

International Society for Computational Biology

Microarray experiments allows estimation os relative expression of thousands of genes at each time point, and they are widely use for monitoring gene activities in a cell during biological processes. However the data produced in these experiments carries a high degree of stochastic variation, obscuring the periodic pattern. Identification of circadian expression pattern in time series data is challenging. Because the measured data are often non-ideal, and efficient algorithms are nedeed to extract as much information as possible.