Art

J-GLOBAL ID：200902249838123058   Reference number：06A0590004

Predicting type of protein-protein interaction as a multiple-instance learning problem

Multiple-Instance学習によるタンパク質相互作用の属性予測

Author (3)： YAMAKAWA HIROSHI (富士通研 ITコア研) ,  NAKAO YOSHIO (富士通研 ITコア研) ,  MARUHASHI KOJI (富士通研 ITコア研)
Material： 電子情報通信学会技術研究報告  (IEICE Technical Report (Institute of Electronics, Information and Communication Engineers))
Volume： 106  Issue： 101(NC2006 9-21)  Page： 37-42  Publication year： Jun. 08, 2006 
JST Material Number： S0532B  ISSN： 0913-5685  Document type： Proceedings
Article type： 原著論文  Country of issue： Japan (JPN)  Language： JAPANESE (JA)

Thesaurus term： *protein ,...
Semi thesaurus term： MIL学習 ,...

   To see more with JDream III (charged).   {{ this.onShowAbsJLink("http://jdream3.com/lp/jglobal/index.html?docNo=06A0590004&from=J-GLOBAL&jstjournalNo=S0532B") }}

JST classification (3)： Molecular and genetic information processing  (JE15040B) ,  Artificial intelligence  (JE08000Z) ,  Proteins and peptides in general  (EB03010N)

Reference (9)：

• RHODES, DR. Probabilistic model of the human protein-protein interaction network. Nat Biotechnol. 2005, 23, 8, 951-959
• LEE, Min Su. A Protein Interaction Verification System Based on a Neural Network Algorithm. CSB2005. 2005
• PERI, S. Development of human protein reference database as an initial platform for approaching systems biology in humans. Genome Res. 2003, 13, 10, 2363-2371
• Kyoto Encyclopedia of Genes and Genomes. http://www.genome.jp/kegg/
• EKINS, S. Techniques : application of systems biology to absorption, distribution, metabolism, excretion and toxicity. Trends Pharmacol Sci. 2005, 26, 4, 202-209

Terms in the title (4)： 学習 ,  タンパク質相互作用 ,  属性 ,  予測