Presentation 2007-06-14
A Study on Significance Analysis of Gene Sets Using Nearest-Neighbor Classification Error
Ichiro TAKEUCHI, Shintaro HAYASHI, Miyuki SUGURO, Masao SETO,
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Abstract(in English) Relating gene expression profiles from microarray experiments with biological knowledge databases is an important step for understanding biological mechanism. It motivates the development of statistical techniques that quantify the significance of the expression profiles for sets of genes defined, e.g., based on pathway information. In this report we propose a new approach for gene set significance analysis. The proposed test measures the significance of gene sets using cross-validated errors of nearest-neighbor classifiers. Our approach is computationally efficient and powerful to detect various types of differences in expression patterns. We demonstrate the advantage of our approach through the simulation studies for power analysis and an application to a public microarray data.
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Keyword(in English) Microarray / Expression Profile / Pathway Analysis / Gene Set / Statistical Test / Multiple Comparison / Permutation Test / Nearest-Neighbor Method / Cross-Validation
Paper # NC2007-13
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Committee NC
Conference Date 2007/6/7(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Study on Significance Analysis of Gene Sets Using Nearest-Neighbor Classification Error
Sub Title (in English)
Keyword(1) Microarray
Keyword(2) Expression Profile
Keyword(3) Pathway Analysis
Keyword(4) Gene Set
Keyword(5) Statistical Test
Keyword(6) Multiple Comparison
Keyword(7) Permutation Test
Keyword(8) Nearest-Neighbor Method
Keyword(9) Cross-Validation
1st Author's Name Ichiro TAKEUCHI
1st Author's Affiliation Division of Information Engineering, Graduate School of Engineering, Mie University()
2nd Author's Name Shintaro HAYASHI
2nd Author's Affiliation Division of Information Engineering, Graduate School of Engineering, Mie University
3rd Author's Name Miyuki SUGURO
3rd Author's Affiliation Division of Molecular Medicine, Aich Cancer Center Research Institute
4th Author's Name Masao SETO
4th Author's Affiliation Division of Molecular Medicine, Aich Cancer Center Research Institute
Date 2007-06-14
Paper # NC2007-13
Volume (vol) vol.107
Number (no) 92
Page pp.pp.-
#Pages 6
Date of Issue