Application of novel exact combinatorial optimisation techniques and metaheuristic methods for problems in cancer research

新型精确组合优化技术和元启发式方法在癌症研究中的应用

• 批准号: DP0773279
• 负责人: Prof Pablo Moscato
• 金额: $ 16.56万
• 依托单位: The University of Newcastle
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2007
• 资助国家: 澳大利亚
• 起止时间: 2007-09-01 至 2010-09-30
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP0773279
• 关键词: Application; novel; exact; combinatorial; optimisation

Novel biotechnologies are offering an unprecedented opportunity to understand the genetic basis of cancer development and progression. However, they present us with a challenge; new computational methods and improved mathematical models and algorithms need to be introduced to complement these technologies in the determination of the function of our individual genetic makeup, especially in connection with disease states. The project will deal with research questions and datasets related to some of the highest incidence cancers in Australia. This project will contribute towards the development of new powerful algorithms for pattern recognition for future "personalized" molecular diagnostics methods.

新的生物技术为了解癌症发展和进展的遗传基础提供了前所未有的机会。然而，它们给我们带来了挑战;需要引入新的计算方法和改进的数学模型和算法，以补充这些技术，确定我们个人基因组成的功能，特别是与疾病状态有关的功能。该项目将处理与澳大利亚一些发病率最高的癌症有关的研究问题和数据集。该项目将有助于为未来的“个性化”分子诊断方法开发新的强大的模式识别算法。