S-score: A novel scoring method of gene signatures for molecular classification

Hung IHarry Chen; Tzu Hung Hsiao; Yidong Chen; Charles Keller

doi:10.1109/gensips.2011.6169468

S-score: A novel scoring method of gene signatures for molecular classification

Hung IHarry Chen, Tzu Hung Hsiao, Yidong Chen, Charles Keller

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Abstract

Gene signatures have been utilized to discover the inferred biological functions under gene expression profiles.We present a novel sample scoring method called Signature-score (S-score). S-score quantifies the expression pattern by using gene signatures and has better accuracy and robustness than other scoring methods. A confidence boundary of S-score is determined to identify the status of samples for which gene signatures represent. Through the quantitative and qualitative analyses of S-score,we will be able to unambiguously identify the qualitative status of enriched pathways or biological processes. This scoring method will not only allow researchers to explore novel functions for microarray studies, but also to focus on known biological functions that manifest the phenotype.

Original language	English (US)
Title of host publication	Proceedings 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS'11
Publisher	IEEE Computer Society
Pages	154-157
Number of pages	4
ISBN (Print)	9781467304900
DOIs	https://doi.org/10.1109/gensips.2011.6169468
State	Published - 2011
Event	2011 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS'11 - San Antonio, TX, United States Duration: Dec 4 2011 → Dec 6 2011

Publication series

Name	Proceedings - IEEE International Workshop on Genomic Signal Processing and Statistics
ISSN (Print)	2150-3001
ISSN (Electronic)	2150-301X

Other

Other	2011 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS'11
Country/Territory	United States
City	San Antonio, TX
Period	12/4/11 → 12/6/11

Keywords

Classification
Gene signature
Pathway analysis

ASJC Scopus subject areas

Signal Processing
Biochemistry, Genetics and Molecular Biology (miscellaneous)
Biomedical Engineering
Computational Theory and Mathematics

Access to Document

10.1109/gensips.2011.6169468

Cite this

Chen, H. IH., Hsiao, T. H., Chen, Y., & Keller, C. (2011). S-score: A novel scoring method of gene signatures for molecular classification. In Proceedings 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS'11 (pp. 154-157). Article 6169468 (Proceedings - IEEE International Workshop on Genomic Signal Processing and Statistics). IEEE Computer Society. https://doi.org/10.1109/gensips.2011.6169468

S-score: A novel scoring method of gene signatures for molecular classification. / Chen, Hung IHarry; Hsiao, Tzu Hung; Chen, Yidong et al.
Proceedings 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS'11. IEEE Computer Society, 2011. p. 154-157 6169468 (Proceedings - IEEE International Workshop on Genomic Signal Processing and Statistics).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Chen, HIH, Hsiao, TH, Chen, Y & Keller, C 2011, S-score: A novel scoring method of gene signatures for molecular classification. in Proceedings 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS'11., 6169468, Proceedings - IEEE International Workshop on Genomic Signal Processing and Statistics, IEEE Computer Society, pp. 154-157, 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS'11, San Antonio, TX, United States, 12/4/11. https://doi.org/10.1109/gensips.2011.6169468

Chen HIH, Hsiao TH, Chen Y, Keller C. S-score: A novel scoring method of gene signatures for molecular classification. In Proceedings 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS'11. IEEE Computer Society. 2011. p. 154-157. 6169468. (Proceedings - IEEE International Workshop on Genomic Signal Processing and Statistics). doi: 10.1109/gensips.2011.6169468

Chen, Hung IHarry ; Hsiao, Tzu Hung ; Chen, Yidong et al. / S-score : A novel scoring method of gene signatures for molecular classification. Proceedings 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS'11. IEEE Computer Society, 2011. pp. 154-157 (Proceedings - IEEE International Workshop on Genomic Signal Processing and Statistics).

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abstract = "Gene signatures have been utilized to discover the inferred biological functions under gene expression profiles.We present a novel sample scoring method called Signature-score (S-score). S-score quantifies the expression pattern by using gene signatures and has better accuracy and robustness than other scoring methods. A confidence boundary of S-score is determined to identify the status of samples for which gene signatures represent. Through the quantitative and qualitative analyses of S-score,we will be able to unambiguously identify the qualitative status of enriched pathways or biological processes. This scoring method will not only allow researchers to explore novel functions for microarray studies, but also to focus on known biological functions that manifest the phenotype.",

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AB - Gene signatures have been utilized to discover the inferred biological functions under gene expression profiles.We present a novel sample scoring method called Signature-score (S-score). S-score quantifies the expression pattern by using gene signatures and has better accuracy and robustness than other scoring methods. A confidence boundary of S-score is determined to identify the status of samples for which gene signatures represent. Through the quantitative and qualitative analyses of S-score,we will be able to unambiguously identify the qualitative status of enriched pathways or biological processes. This scoring method will not only allow researchers to explore novel functions for microarray studies, but also to focus on known biological functions that manifest the phenotype.

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S-score: A novel scoring method of gene signatures for molecular classification

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Keywords

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