Presentation 2012/6/21
Gene Set Enrichment Analysis for Time-series Gene Expression Profiles
YUTA OKUMA, SHIGETO SENO, YOICHI TAKENAKA, HIDEO MATSUDA,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) Gene function is researched and gene functional information which is annotated on gene is increasing continuously. Gene Set Analysis is one of a method using gene functional information, and we use it when we want to compare two groups. However, this method can not be applied to time-series gene expression profile. In this reserch, I propose a method to analyze gene function groupsand handle time-series data. The method extracts a time period in which works from a time-series gene expression profile.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Time-series Gene Expression Profile / Gene Set Enrichment Analysis / sliding window
Paper # Vol.2012-BIO-29 No.26
Date of Issue

Conference Information
Committee NC
Conference Date 2012/6/21(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Gene Set Enrichment Analysis for Time-series Gene Expression Profiles
Sub Title (in English)
Keyword(1) Time-series Gene Expression Profile
Keyword(2) Gene Set Enrichment Analysis
Keyword(3) sliding window
1st Author's Name YUTA OKUMA
1st Author's Affiliation Osaka University Graduate Scool of information Science and Technology()
2nd Author's Name SHIGETO SENO
2nd Author's Affiliation Osaka University Graduate Scool of information Science and Technology
3rd Author's Name YOICHI TAKENAKA
3rd Author's Affiliation Osaka University Graduate Scool of information Science and Technology
4th Author's Name HIDEO MATSUDA
4th Author's Affiliation Osaka University Graduate Scool of information Science and Technology
Date 2012/6/21
Paper # Vol.2012-BIO-29 No.26
Volume (vol) vol.112
Number (no) 108
Page pp.pp.-
#Pages 7
Date of Issue