Optimizing bicoid signal extraction.

Hassani, H., Silva, E.S. and Ghodsi, Z., 2017. Optimizing bicoid signal extraction. Mathematical Biosciences, 294 (December), 46 - 56.

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DOI: 10.1016/j.mbs.2017.09.008

Abstract

Signal extraction and analysis is of great importance, not only in fields such as economics and meteorology, but also in genetics and even biomedicine. There exists a range of parametric and nonparametric techniques which can perform signal extractions. However, the aim of this paper is to define a new approach for optimising signal extraction from bicoid gene expression profile. Having studied both parametric and nonparametric signal extraction techniques, we identified the lack of specific criteria enabling users to select the optimal signal extraction parameters. Exploiting the expression profile of bicoid gene, which is a maternal segmentation coordinate gene found in Drosophila melanogaster, we introduce a new approach for optimising the signal extraction using a nonparametric technique. The underlying criteria are based on the distribution of the residual, more specifically its skewness.

Item Type:Article
ISSN:0025-5564
Uncontrolled Keywords:Bicoid ; Optimisation ; Residual distribution ; Signal extraction
Group:Faculty of Management
ID Code:30069
Deposited By: Unnamed user with email symplectic@symplectic
Deposited On:04 Dec 2017 12:10
Last Modified:04 Dec 2017 12:10

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