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Pattern Recognition of Gene Expression with Singular Spectrum Analysis

The Staistical Research Centre, Bournemouth University, Bournemouth BH8 8EB, UK
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Med. Sci. 2014, 2(3), 127-139; https://doi.org/10.3390/medsci2030127
Received: 20 February 2014 / Revised: 3 May 2014 / Accepted: 22 May 2014 / Published: 1 July 2014
Drosophila segmentation as a model organism is one of the most highly studied. Among many maternal segmentation coordinate genes, bicoid protein pattern plays a significant role during Drosophila embryogenesis, since this gradient determines most aspects of head and thorax development. Despite the fact that several models have been proposed to describe the bicoid gradient, due to its association with considerable error, each can only partially explain bicoid characteristics. In this paper, a modified version of singular spectrum analysis is examined for filtering and extracting the bicoid gene expression signal. The results with strong evidence indicate that the proposed technique is able to remove noise more effectively and can be considered as a promising method for filtering gene expression measurements for other applications. View Full-Text
Keywords: Drosophila melanogaster; segmentation; signal extraction; singular spectrum analysis Drosophila melanogaster; segmentation; signal extraction; singular spectrum analysis
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Hassani, H.; Ghodsi, Z. Pattern Recognition of Gene Expression with Singular Spectrum Analysis. Med. Sci. 2014, 2, 127-139.

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