Computational Approaches for Biomarker Discovery

• 作者: Loai Abedallah Malik Yousef Naim Najami Waleed Khalifa
• 来源期刊: 智能学习系统与应用(英文)
• 学科: 医学
• 关键词: COMPUTATIONAL BIOLOGY BIOMARKER DISCOVERY MACHINE Learning
• 年，卷（期）: 2014,（4）
• 页码范围: 153-161
• 页数: 9页
• 分类号: R73

摘要

Computational biology plays a significant role in the discovery of new biomarkers, the analyses of disease states and the validation of potential biomarkers. Biomarkers are used to measure the progress of disease or the physiological effects of therapeutic intervention in the treatment of disease. They are also used as early warning signs for various diseases such as cancer and inflammatory diseases. In this review, we outline recent progresses of computational biology application in research on biomarkers discovery. A brief discussion of some necessary preliminaries on machine learning techniques (e.g., clustering and support vector machines—SVM) which are commonly used in many applications to biomarkers discovery is given and followed by a description of biological background on biomarkers. We further examine the integration of computational biology approaches and biomarkers. Finally, we conclude with a discussion of key challenges for computational biology to biomarkers discovery.