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.

http://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.

http://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.

http://eprints.bournemouth.ac.uk/29774/

Source: PubMed

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

http://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

http://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

DOI: 10.1016/j.gpb.2015.02.006

http://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.

http://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.

http://eprints.bournemouth.ac.uk/29774/

Source: BURO EPrints