摘要
本文回顾了科学和医学研究中处理复杂性问题的新的概念和方法。生物信息学已经在基因组学和蛋白质组学的研究中发挥了重要的作用。而基于非线性关系的许多模型和算法也显示出在生物进化和生态学研究方面的巨大潜力。这些有关复杂性的概念和工具将会越来越广泛地被应用于病理过程和临床实践的综合研究中,如癌症、高血压病、代谢综合症等复杂性疾病。
This paper reviewed the new concepts and methodology developed to manage and resolve the complexity issues in the scientific areas as well as in the medical areas. Bioinformatics has made the great contributions in studies on ge- nomics and proteomics. The models and algorithms based on the non-linear dynamics have been shown the potential in understanding of biological evolution and ecology. It was also evidenced that those new scientific concepts and tools would be used to develop more comprehensive studies on the complexity issues of pathological courses and clinical practice, such as cancer, hypertension, and metabolic disorders and so on.
出处
《中国科学基金》
CSCD
北大核心
2005年第4期226-230,共5页
Bulletin of National Natural Science Foundation of China
