Singular value decomposition and density estimation for filtering and analysis of gene expression

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Description

We present three algorithms for gene expression analysis. Algorithm 1, known as serial correlation test, is used for filtering out noisy gene expression profiles. Algorithm 2 and 3 project the gene expression profiles into 2-dimensional expression subspaces ident ifiecl by Singular Value Decomposition. Density estimates a e used to determine expression profiles that have a high correlation with the subspace and low levels of noise. High density regions in the projection, clusters of co-expressed genes, are identified. We illustrate the algorithms by application to the yeast cell-cycle data by Cho et.al. and comparison of the results.

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3 p.

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Rechtsteiner, A. (Andreas); Gottardo, R. (Raphael); Rocha, L. M. (Luis Mateus) & Wall, M. E. (Michael E.) January 1, 2003.

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Description

We present three algorithms for gene expression analysis. Algorithm 1, known as serial correlation test, is used for filtering out noisy gene expression profiles. Algorithm 2 and 3 project the gene expression profiles into 2-dimensional expression subspaces ident ifiecl by Singular Value Decomposition. Density estimates a e used to determine expression profiles that have a high correlation with the subspace and low levels of noise. High density regions in the projection, clusters of co-expressed genes, are identified. We illustrate the algorithms by application to the yeast cell-cycle data by Cho et.al. and comparison of the results.

Physical Description

3 p.

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  • Submitted to: European Conference on Computational Biology (ECCB) in Paris from 9/27-9/30, 2003

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  • Report No.: LA-UR-03-2032
  • Grant Number: none
  • Office of Scientific & Technical Information Report Number: 976573
  • Archival Resource Key: ark:/67531/metadc929446

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Office of Scientific & Technical Information Technical Reports

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  • January 1, 2003

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  • Nov. 13, 2016, 7:26 p.m.

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  • Dec. 12, 2016, 4:49 p.m.

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Rechtsteiner, A. (Andreas); Gottardo, R. (Raphael); Rocha, L. M. (Luis Mateus) & Wall, M. E. (Michael E.). Singular value decomposition and density estimation for filtering and analysis of gene expression, article, January 1, 2003; United States. (digital.library.unt.edu/ark:/67531/metadc929446/: accessed October 21, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.