A data mining framework for genomics biomarker and signature identification

用于基因组学生物标志物和特征识别的数据挖掘框架

• 批准号: 138055-2009
• 负责人: Ng, Raymond
• 金额: $ 5.1万
• 依托单位: University of British Columbia
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2013
• 资助国家: 加拿大
• 起止时间: 2013-01-01 至 2014-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=522343
• 关键词: data; mining; framework; genomics; biomarker

Biomarkers are indicators used to objectively measure and evaluate normal biological processes, pathogenic processes or pharmacological responses to therapeutic interventions. In medical practice, biomarkers facilitate diagnosis and prognosis of disease, as well as monitoring clinical response to therapy. In environmental studies, biomarkers can be used to assess the health states of animals and plants, with respect to, for instance, the amounts of toxic materials they are exposed. Advancements in the fields of genomics and proteomics have revolutionized novel biomarker discovery with new tools for high throughput strategies. In this proposal, we present a comprehensive framework for using large amounts of genomics and proteomics data for identifying biomarkers and signatures. The proposal has three key focuses: (A) data cleansing and pre-processing; (B) biomarker and signature identification; and (C) validation with real data sets.

生物标志物是用于客观测量和评估正常生物过程、致病过程或对治疗干预的药理学反应的指标。在医疗实践中，生物标志物有助于疾病的诊断和预后，以及监测对治疗的临床反应。在环境研究中，生物标志物可用于评估动植物的健康状况，例如，它们所接触的有毒物质的数量。基因组学和蛋白质组学领域的进步通过高通量策略的新工具彻底改变了新型生物标志物的发现。在本提案中，我们提出了一个综合框架，用于使用大量基因组学和蛋白质组学数据来识别生物标志物和特征。该提案有三个重点：（A）数据清理和预处理； (B) 生物标志物和签名识别； (C) 使用真实数据集进行验证。