Bicoid Signal Extraction with a Selection of Parametric and Nonparametric Signal Processing Techniques
Authors: Ghodsi, Z., Silva, E.S. and Hassani, H.
Journal: Genomics, Proteomics and Bioinformatics
Publisher: Beijing Genomics Institute
eISSN: 2210-3244
ISSN: 1672-0229
DOI: 10.1016/j.gpb.2015.02.006
Abstract:The maternal segmentation coordinate gene bicoid plays a significant role during Drosophila embryogenesis. The gradient of Bicoid, the protein encoded by this gene, determines most aspects of head and thorax development. This paper seeks to explore the applicability of a variety of signal processing techniques at extracting bicoid expression signal, and whether these methods can outperform the current model. We evaluate the use of six different powerful and widely-used models representing both parametric and nonparametric signal processing techniques to determine the most efficient method for signal extraction in bicoid The results are evaluated using both real and simulated data. Our findings show that the Singular Spectrum Analysis technique proposed in this paper outperforms the synthesis diffusion degradation model for filtering the noisy protein profile of bicoid whilst the exponential smoothing technique was found to be the next best alternative followed by the autoregressive integrated moving average.
https://eprints.bournemouth.ac.uk/29774/
Source: Scopus
Bicoid Signal Extraction with a Selection of Parametric and Nonparametric Signal Processing Techniques
Authors: Ghodsi, Z., Silva, E.S. and Hassani, H.
Journal: Genomics, Proteomics and Bioinformatics
Volume: 13
Issue: 3
Pages: 183-191
eISSN: 2210-3244
ISSN: 1672-0229
DOI: 10.1016/j.gpb.2015.02.006
Abstract:The maternal segmentation coordinate gene bicoid plays a significant role during Drosophila embryogenesis. The gradient of Bicoid, the protein encoded by this gene, determines most aspects of head and thorax development. This paper seeks to explore the applicability of a variety of signal processing techniques at extracting bicoid expression signal, and whether these methods can outperform the current model. We evaluate the use of six different powerful and widely-used models representing both parametric and nonparametric signal processing techniques to determine the most efficient method for signal extraction in bicoid. The results are evaluated using both real and simulated data. Our findings show that the Singular Spectrum Analysis technique proposed in this paper outperforms the synthesis diffusion degradation model for filtering the noisy protein profile of bicoid whilst the exponential smoothing technique was found to be the next best alternative followed by the autoregressive integrated moving average.
https://eprints.bournemouth.ac.uk/29774/
Source: Scopus
Bicoid signal extraction with a selection of parametric and nonparametric signal processing techniques.
Authors: Ghodsi, Z., Silva, E.S. and Hassani, H.
Journal: Genomics Proteomics Bioinformatics
Volume: 13
Issue: 3
Pages: 183-191
eISSN: 2210-3244
DOI: 10.1016/j.gpb.2015.02.006
Abstract:The maternal segmentation coordinate gene bicoid plays a significant role during Drosophila embryogenesis. The gradient of Bicoid, the protein encoded by this gene, determines most aspects of head and thorax development. This paper seeks to explore the applicability of a variety of signal processing techniques at extracting bicoid expression signal, and whether these methods can outperform the current model. We evaluate the use of six different powerful and widely-used models representing both parametric and nonparametric signal processing techniques to determine the most efficient method for signal extraction in bicoid. The results are evaluated using both real and simulated data. Our findings show that the Singular Spectrum Analysis technique proposed in this paper outperforms the synthesis diffusion degradation model for filtering the noisy protein profile of bicoid whilst the exponential smoothing technique was found to be the next best alternative followed by the autoregressive integrated moving average.
https://eprints.bournemouth.ac.uk/29774/
Source: PubMed
<i>Bicoid</i> Signal Extraction with a Selection of Parametric and Nonparametric Signal Processing Techniques
Authors: Ghodsi, Z., Silva, E.S. and Hassani, H.
Journal: GENOMICS PROTEOMICS & BIOINFORMATICS
Volume: 13
Issue: 3
Pages: 183-191
eISSN: 2210-3244
ISSN: 1672-0229
DOI: 10.1016/j.gpb.2015.02.006
https://eprints.bournemouth.ac.uk/29774/
Source: Web of Science (Lite)
Bicoid Signal Extraction with a Selection of Parametric and Nonparametric Signal Processing Techniques
Authors: Ghodsi, Z., Silva, E.S. and Hassani, H.
Journal: GENOMICS PROTEOMICS & BIOINFORMATICS
Volume: 13
Issue: 3
Pages: 183-191
eISSN: 2210-3244
ISSN: 1672-0229
DOI: 10.1016/j.gpb.2015.02.006
https://eprints.bournemouth.ac.uk/29774/
Source: Manual
Bicoid Signal Extraction with a Selection of Parametric and Nonparametric Signal Processing Techniques.
Authors: Ghodsi, Z., Silva, E.S. and Hassani, H.
Journal: Genom. Proteom. Bioinform.
Volume: 13
Pages: 183-191
https://eprints.bournemouth.ac.uk/29774/
Source: DBLP
Bicoid signal extraction with a selection of parametric and nonparametric signal processing techniques.
Authors: Ghodsi, Z., Silva, E.S. and Hassani, H.
Journal: Genomics, proteomics & bioinformatics
Volume: 13
Issue: 3
Pages: 183-191
eISSN: 2210-3244
ISSN: 1672-0229
DOI: 10.1016/j.gpb.2015.02.006
Abstract:The maternal segmentation coordinate gene bicoid plays a significant role during Drosophila embryogenesis. The gradient of Bicoid, the protein encoded by this gene, determines most aspects of head and thorax development. This paper seeks to explore the applicability of a variety of signal processing techniques at extracting bicoid expression signal, and whether these methods can outperform the current model. We evaluate the use of six different powerful and widely-used models representing both parametric and nonparametric signal processing techniques to determine the most efficient method for signal extraction in bicoid. The results are evaluated using both real and simulated data. Our findings show that the Singular Spectrum Analysis technique proposed in this paper outperforms the synthesis diffusion degradation model for filtering the noisy protein profile of bicoid whilst the exponential smoothing technique was found to be the next best alternative followed by the autoregressive integrated moving average.
https://eprints.bournemouth.ac.uk/29774/
Source: Europe PubMed Central
Bicoid signal extraction with a selection of parametric and nonparametric signal processing techniques.
Authors: Ghodsi, Z., Silva, E.S. and Hassani, H.
Journal: Genomics Proteomics Bioinformatics
Volume: 13
Issue: 3
Pages: 183-191
Abstract:The maternal segmentation coordinate gene bicoid plays a significant role during Drosophila embryogenesis. The gradient of Bicoid, the protein encoded by this gene, determines most aspects of head and thorax development. This paper seeks to explore the applicability of a variety of signal processing techniques at extracting bicoid expression signal, and whether these methods can outperform the current model. We evaluate the use of six different powerful and widely-used models representing both parametric and nonparametric signal processing techniques to determine the most efficient method for signal extraction in bicoid. The results are evaluated using both real and simulated data. Our findings show that the Singular Spectrum Analysis technique proposed in this paper outperforms the synthesis diffusion degradation model for filtering the noisy protein profile of bicoid whilst the exponential smoothing technique was found to be the next best alternative followed by the autoregressive integrated moving average.
https://eprints.bournemouth.ac.uk/29774/
Source: BURO EPrints