JIPS (한국정보처리학회)
Current Result Document :
| 한글제목(Korean Title) |
An Efficient Functional Analysis Method for Micro-array Data Using Gene Ontology |
| 영문제목(English Title) |
An Efficient Functional Analysis Method for Micro-array Data Using Gene Ontology |
| 저자(Author) |
Dong-wan Hong
Jong-keun Lee
Sung-soo Park
Sang-kyoon Hong
Jee-hee Yoon
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| 원문수록처(Citation) |
VOL 03 NO. 01 PP. 0038 ~ 0042 (2007. 06) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
Microarray data includes tens of thousands of gene expressions simultaneously, so it can be effectively used in identifying the phenotypes of diseases. However, the retrieval of functional information from a large corpus of gene expression data is still a time-consuming task. In this paper, we propose an efficient method for identifying functional categories of differentially expressed genes from a micro-array experiment by using Gene Ontology (GO). Our method is as follows: (1) The expression data set is first filtered to include only genes with mean expression values that differ by at least 3-fold between the two groups. (2) The genes are then ranked based on the t-statistics. The 100 most highly ranked genes are selected as informative genes. (3) The t-value of each informative gene is imposed as a score on the associated GO terms. High-scoring GO terms are then listed with their associated genes and represent the functional category information of the micro-array experiment. A system called HMDA (Hallym Micro-array Data analysis) is implemented on publicly available microarray data sets and validated. Our results were also compared with the original analysis. |
| 키워드(Keyword) |
Micro-array data
Functional analysis
Gene Ontology
Informative genes.
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| 파일첨부 |
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