ID 111060
Title Alternative
Microarray Data Analysis : Mainly on a Functional Analysis using DAVID
Author
Keywords
マイクロアレイ
クラスター分析
DAVID
GO解析
Content Type
Journal Article
Description
Microarray technique is one of methods for analyzing gene expression. In modern life science of post-genome era, extraction of biologically meaningful information from microarray data is one of the most important problems. Cluster analysis is a traditional way of analyzing microarray data and can classify genes showing similar expression pattern into one group. However, this method cannot clarify the biological properties of each gene group, and the meaning of gene expression changes of the sample, even though common regulatory mechanism of gene expression is implied. Recently, a new analyzing method, which combines microarray data with Gene Ontology information, has developed. This method classifies genes into groups according to accumulated functional information and selects statistically important groups. Using this method, we can obtain clues to find out biologically important gene groups. In this review, theory and the practical procedure of microarray data analysis using DAVID will be mainly discussed.
Journal Title
Journal of Oral Health and Biosciences
ISSN
21896682
21887888
Publisher
四国歯学会
Volume
29
Issue
2
Start Page
55
End Page
62
Sort Key
55
Published Date
2017-04-04
EDB ID
DOI (Published Version)
URL ( Publisher's Version )
FullText File
language
jpn
TextVersion
Publisher
departments
Oral Sciences