Pattern Recognition of Gene Expression with Singular Spectrum Analysis
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 f...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2014-07-01
|
Series: | Medical Sciences |
Subjects: | |
Online Access: | http://www.mdpi.com/2076-3271/2/3/127 |
id |
doaj-36df8ad7330e4293a692d88f03219303 |
---|---|
record_format |
Article |
spelling |
doaj-36df8ad7330e4293a692d88f032193032020-11-24T23:53:49ZengMDPI AGMedical Sciences2076-32712014-07-012312713910.3390/medsci2030127medsci2030127Pattern Recognition of Gene Expression with Singular Spectrum AnalysisHossein Hassani0Zara Ghodsi1The Staistical Research Centre, Bournemouth University, Bournemouth BH8 8EB, UKThe Staistical Research Centre, Bournemouth University, Bournemouth BH8 8EB, UKDrosophila 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.http://www.mdpi.com/2076-3271/2/3/127Drosophila melanogastersegmentationsignal extractionsingular spectrum analysis |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Hossein Hassani Zara Ghodsi |
spellingShingle |
Hossein Hassani Zara Ghodsi Pattern Recognition of Gene Expression with Singular Spectrum Analysis Medical Sciences Drosophila melanogaster segmentation signal extraction singular spectrum analysis |
author_facet |
Hossein Hassani Zara Ghodsi |
author_sort |
Hossein Hassani |
title |
Pattern Recognition of Gene Expression with Singular Spectrum Analysis |
title_short |
Pattern Recognition of Gene Expression with Singular Spectrum Analysis |
title_full |
Pattern Recognition of Gene Expression with Singular Spectrum Analysis |
title_fullStr |
Pattern Recognition of Gene Expression with Singular Spectrum Analysis |
title_full_unstemmed |
Pattern Recognition of Gene Expression with Singular Spectrum Analysis |
title_sort |
pattern recognition of gene expression with singular spectrum analysis |
publisher |
MDPI AG |
series |
Medical Sciences |
issn |
2076-3271 |
publishDate |
2014-07-01 |
description |
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. |
topic |
Drosophila melanogaster segmentation signal extraction singular spectrum analysis |
url |
http://www.mdpi.com/2076-3271/2/3/127 |
work_keys_str_mv |
AT hosseinhassani patternrecognitionofgeneexpressionwithsingularspectrumanalysis AT zaraghodsi patternrecognitionofgeneexpressionwithsingularspectrumanalysis |
_version_ |
1725468455047528448 |