Extracting Sequential Patterns for Gene Regulatory Expressions Profiles

In this paper we report outcomes of our computational analysis applied to time-series gene expression data generated by Kagami et al [1]. Gene expression data were generated using Affimetrix chips and validated by quantitative RT-PCR (reverse transcription-polymerase chain reaction) expression analysis of 12 randomly selected and differentially expressed genes. The biotin-labelled cRNA samples generated from mouse cerebella samples were collected at five developmental stages: 1 prenatal (embryonic day 18 or E18) and 4 postnatal at 7, 14, 21 and 56 days (P7, P14, P21 and P56).

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