A glance at the applications of Singular Spectrum Analysis in gene expression data
Authors: Hassani, H. and Ghodsi, Z.
Journal: Biomolecular Detection and Quantification
Volume: 4
Pages: 17-21
eISSN: 2214-7535
DOI: 10.1016/j.bdq.2015.04.001
Abstract:In recent years Singular Spectrum Analysis (SSA) has been used to solve many biomedical issues and is currently accepted as a potential technique in quantitative genetics studies. Presented in this article is a review of recent published genetics studies which have taken advantage of SSA. Since Singular Value Decomposition (SVD) is an important stage of this technique which can also be used as an independent analytical method in gene expression data, we also briefly touch upon some areas of the application of SVD. The review finds that at present, the most prominent area of applying SSA in genetics is filtering and signal extraction, which proves that SSA can be considered as a valuable aid and promising method for genetics analysis.
Source: Scopus
A glance at the applications of Singular Spectrum Analysis in gene expression data.
Authors: Hassani, H. and Ghodsi, Z.
Journal: Biomol Detect Quantif
Volume: 4
Pages: 17-21
ISSN: 2214-7535
DOI: 10.1016/j.bdq.2015.04.001
Abstract:In recent years Singular Spectrum Analysis (SSA) has been used to solve many biomedical issues and is currently accepted as a potential technique in quantitative genetics studies. Presented in this article is a review of recent published genetics studies which have taken advantage of SSA. Since Singular Value Decomposition (SVD) is an important stage of this technique which can also be used as an independent analytical method in gene expression data, we also briefly touch upon some areas of the application of SVD. The review finds that at present, the most prominent area of applying SSA in genetics is filtering and signal extraction, which proves that SSA can be considered as a valuable aid and promising method for genetics analysis.
Source: PubMed
A glance at the applications of Singular Spectrum Analysis in gene expression data
Authors: Hassani, H. and Ghodsi, Z.
Journal: Biomolecular Detection and Quantification
Volume: 4
Pages: 17-21
eISSN: 2214-7535
DOI: 10.1016/j.bdq.2015.04.001
Abstract:© 2015 The Authors. In recent years Singular Spectrum Analysis (SSA) has been used to solve many biomedical issues and is currently accepted as a potential technique in quantitative genetics studies. Presented in this article is a review of recent published genetics studies which have taken advantage of SSA. Since Singular Value Decomposition (SVD) is an important stage of this technique which can also be used as an independent analytical method in gene expression data, we also briefly touch upon some areas of the application of SVD. The review finds that at present, the most prominent area of applying SSA in genetics is filtering and signal extraction, which proves that SSA can be considered as a valuable aid and promising method for genetics analysis.
Source: Manual
A glance at the applications of Singular Spectrum Analysis in gene expression data.
Authors: Hassani, H. and Ghodsi, Z.
Journal: Biomolecular detection and quantification
Volume: 4
Pages: 17-21
eISSN: 2214-7535
ISSN: 2214-7535
DOI: 10.1016/j.bdq.2015.04.001
Abstract:In recent years Singular Spectrum Analysis (SSA) has been used to solve many biomedical issues and is currently accepted as a potential technique in quantitative genetics studies. Presented in this article is a review of recent published genetics studies which have taken advantage of SSA. Since Singular Value Decomposition (SVD) is an important stage of this technique which can also be used as an independent analytical method in gene expression data, we also briefly touch upon some areas of the application of SVD. The review finds that at present, the most prominent area of applying SSA in genetics is filtering and signal extraction, which proves that SSA can be considered as a valuable aid and promising method for genetics analysis.
Source: Europe PubMed Central