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 proceedingConference contribution

1 Citation (Scopus)

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 languageEnglish (US)
Title of host publicationProceedings - IEEE International Workshop on Genomic Signal Processing and Statistics
Pages154-157
Number of pages4
StatePublished - 2011
Event2011 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS'11 - San Antonio, TX, United States
Duration: Dec 4 2011Dec 6 2011

Other

Other2011 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS'11
CountryUnited States
CitySan Antonio, TX
Period12/4/1112/6/11

Fingerprint

Research Design
Genes
Biological Phenomena
Microarrays
Transcriptome
Gene expression
Research Personnel
Phenotype

Keywords

  • Classification
  • Gene signature
  • Pathway analysis

ASJC Scopus subject areas

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

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 - IEEE International Workshop on Genomic Signal Processing and Statistics (pp. 154-157). [6169468]

S-score : A novel scoring method of gene signatures for molecular classification. / Chen, Hung IHarry; Hsiao, Tzu Hung; Chen, Yidong; Keller, Charles.

Proceedings - IEEE International Workshop on Genomic Signal Processing and Statistics. 2011. p. 154-157 6169468.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Chen, HIH, Hsiao, TH, Chen, Y & Keller, C 2011, S-score: A novel scoring method of gene signatures for molecular classification. in Proceedings - IEEE International Workshop on Genomic Signal Processing and Statistics., 6169468, pp. 154-157, 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS'11, San Antonio, TX, United States, 12/4/11.
Chen HIH, Hsiao TH, Chen Y, Keller C. S-score: A novel scoring method of gene signatures for molecular classification. In Proceedings - IEEE International Workshop on Genomic Signal Processing and Statistics. 2011. p. 154-157. 6169468
Chen, Hung IHarry ; Hsiao, Tzu Hung ; Chen, Yidong ; Keller, Charles. / S-score : A novel scoring method of gene signatures for molecular classification. Proceedings - IEEE International Workshop on Genomic Signal Processing and Statistics. 2011. pp. 154-157
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