Force curve classification using independent component analysis and support vector machine

CORC > 沈阳自动化研究所 > 中国科学院沈阳自动化研究所 > 机器人学研究室

	Force curve classification using independent component analysis and support vector machine
	Zhou FY(周富元); Wang WX(王文学); Li M(李密); Liu LQ(刘连庆)
	2015
会议名称	9th IEEE International Conference on Nano/Molecular Medicine and Engineering, NANOMED 2015
会议日期	November 15-18, 2015
会议地点	Honolulu, HI, USA
页码	167-172
中文摘要	The development of single-molecule force spectroscopy (SMFS) technique, especially the atomic force microscope (AFM) based SMFS technique, has been widely applied to the studies of receptor-ligand at single-cell and single-molecule level and has greatly enhanced the understanding of biological activity like the drug action on the cells. The studies have shown that three types of acting forces between proteins and ligands, specific binding, non-specific binding, and non-interaction, can be distinguished manually according to the characteristics of force curves for further analysis. However the efficiency of manual classification of such force curves is low and results in difficulty in analyzing large set of experimental data. In this study, we demonstrate a machine learning based approach to automatic classification of the three types of force curves and a low pass filter for noise removal, independent component analysis for dimensionality reduction and support vector machine for data classification are involved in this process. It is validated by the experiments that the three types of force curves recorded using AFM can be effectively and efficiently classified with the proposed approach.
收录类别	EI
产权排序	1
会议主办者	Huawei Technologies Co., Ltd.; IEEE Nanotechnology Council; RSC Advances of the Royal Society of Chemistry; Shenzhen Academy of Robotics; University of Arkansas; University of California at Santa Cruz
会议录	9th IEEE International Conference on Nano/Molecular Medicine and Engineering, NANOMED 2015
会议录出版者	IEEE Computer Society
会议录出版地	Washington, DC
语种	英语
ISSN号	2159-6964
ISBN号	978-1-4673-9671-4
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/18758]
专题	沈阳自动化研究所_机器人学研究室
推荐引用方式 GB/T 7714	Zhou FY,Wang WX,Li M,et al. Force curve classification using independent component analysis and support vector machine[C]. 见:9th IEEE International Conference on Nano/Molecular Medicine and Engineering, NANOMED 2015. Honolulu, HI, USA. November 15-18, 2015.