Characterization and classification of cancer cells based on protein distributions and expression timings from cell array

2015 Fiscal Year Final Research Report

• Project/Area Number: 23300110
• Research Category: Grant-in-Aid for Scientific Research (B)
• Allocation Type: Single-year Grants
• Section: 一般
• Research Field: Bioinformatics/Life informatics
• Research Institution: Yamaguchi University
• Principal Investigator: Matsuno Hiroshi 山口大学, 理工学研究科, 教授 (10181744)
• Co-Investigator(Kenkyū-buntansha): GE QI-WEI 山口大学, 教育学部, 教授 (30263750) ; 近藤 智子 (FURUYA TOMOKO) 山口大学, 大学院医学系研究科, 助教 (30379979) ; Faure Adrien 山口大学, 理工学研究科, 助教 (00610627) ; KITAKAZE HIRONORI 大島商船高等専門学校, 情報工学科, 准教授 (70342558)
• Co-Investigator(Renkei-kenkyūsha): IKEDA NOBUHIKO 徳山工業高等専門学校, 情報電子工学科, 嘱託教授 (60110235)
• Project Period (FY): 2011-04-01 – 2016-03-31
• Keywords: システム生物学 / シグナル伝達経路 / ペトリネット / セルアレイ / がん細胞分類 / サポートベクタマシン

Outline of Final Research Achievements

A method expressing characteristics of cancer cells based on linear differentiation, which maps 5 kinds of dispersion patterns, quantity and aggregation ratio of protein, cell size, and quantity and aggregation ratio of DNA, to a fixed dimensional feature space by using kernel function of a support vector machine was developed.
In addition, some necessary conditions for timed Petri net are shown to make it retention-free. Based on the dependencies of transition delay time and cycle structure in Petri net, a method deciding delay times in partial structures in a Petri net model of a signaling pathway and a condition for cycle structure were formulated.

Free Research Field

システム生物学