Causality analysis detects the regulatory role of maternal effect genes in the early Drosophila embryo.

Ghodsi, Z., Huang, X. and Hassani, H., 2017. Causality analysis detects the regulatory role of maternal effect genes in the early Drosophila embryo. Genomics Data, 11 (March), pp. 20-38.

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DOI: 10.1016/j.gdata.2016.11.013

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.

Item Type:Article
ISSN:2213-5960
Uncontrolled Keywords:Bicoid; Caudal; Drosophila melanogaster; Segmentation; Time and frequency domain causality; Convergent Cross Mapping
Group:Faculty of Management
ID Code:29717
Deposited By: Unnamed user with email symplectic@symplectic
Deposited On:19 Sep 2017 13:01
Last Modified:19 Sep 2017 13:01

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