title: Causality analysis detects the regulatory role of maternal effect genes in the earlyDrosophilaembryo.
abstract: In developmental studies, inferring regulatory interactions of segmentation genetic network play a vital role in unveiling the mechanism of pattern formation. As such, there exists an opportune demand for theoretical developments and new mathematical models which can result in a more accurate illustration of this genetic network. Accordingly, this paper seeks to extract the meaningful regulatory role of the maternal effect genes using a variety of causality detection techniques and to explore whether these methods can suggest a new analytical view to the gene regulatory networks. We evaluate the use of three different powerful and widely-used models representing time and frequency domain Granger causality and convergent cross mapping technique with the results being thoroughly evaluated for statistical significance. Our findings show that the regulatory role of maternal effect genes is detectable in different time classes and thereby the method is applicable to infer the possible regulatory interactions present among the other genes of this network.
authors.affiliation: Statistical Research Centre, Bournemouth University, 89 Holdenhurst Road, Bournemouth BH8 8EB, UK; Translational Genetics Group, Bournemouth University, Fern Barrow, Poole BH125BB, UK.
authors.forename: Zara
authors.initials: Z
authors.lastname: Ghodsi
authors.affiliation: Statistical Research Centre, Bournemouth University, 89 Holdenhurst Road, Bournemouth BH8 8EB, UK.
authors.forename: Xu
authors.initials: X
authors.lastname: Huang
authors.affiliation: Institute for International Energy Studies (IIES), Tehran 1967743 711, Iran.
authors.forename: Hossein
authors.initials: H
authors.lastname: Hassani
keywords: Bicoid; Caudal; Convergent Cross Mapping; Drosophila melanogaster; Segmentation; Time and frequency domain causality