2016年
Finding Influential Genes Using Gene Expression Data and Boolean Models of Metabolic Networks.
2016 IEEE 16TH INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOENGINEERING (BIBE)
- ,
- ,
- ,
- 巻
- 2016
- 号
- BIBE
- 開始ページ
- 57
- 終了ページ
- 63
- 記述言語
- 英語
- 掲載種別
- 研究論文(国際会議プロシーディングス)
- DOI
- 10.1109/BIBE.2016.25
- 出版者・発行元
- IEEE
Selection of influential genes using gene expression data from normal and disease samples is an important topic in bioinformatics. In this paper, we propose a novel computational method for the problem, which combines gene expression patterns from normal and disease samples with a mathematical model of metabolic networks. This method seeks a set of k genes knockout of which drives the state of the metabolic network towards that in the disease samples. We adopt a Boolean model of metabolic networks and formulate the problem as a maximization problem under an integer linear programming framework. We applied the proposed method to selection of influential genes using gene expression data from normal samples and disease (head and neck cancer) samples. The result suggests that the proposed method can select more biologically relevant genes than an existing P-value based ranking method can.
- リンク情報
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- DOI
- https://doi.org/10.1109/BIBE.2016.25
- DBLP
- https://dblp.uni-trier.de/rec/conf/bibe/TamuraALY16
- J-GLOBAL
- https://jglobal.jst.go.jp/detail?JGLOBAL_ID=201602290246804492
- Web of Science
- https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000391847500009&DestApp=WOS_CPL
- URL
- https://dblp.uni-trier.de/conf/bibe/2016
- URL
- https://dblp.uni-trier.de/db/conf/bibe/bibe2016.html#TamuraALY16
- ID情報
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- DOI : 10.1109/BIBE.2016.25
- ISSN : 2471-7819
- DBLP ID : conf/bibe/TamuraALY16
- J-Global ID : 201602290246804492
- Web of Science ID : WOS:000391847500009