Least square estimation of Dose Response Curve Parameters

dose response curve;high content screening;curve fitting;robust;약물 반응 곡선;고함량 검사;곡선 최적화;강건한 가중치 함수;이상치 감지;510

자연과학대학 수리과학부 ;

University:서울대학교 대학원

关键词: dose response curve;    high content screening;    curve fitting;    robust;    약물 반응 곡선;    고함량 검사;    곡선 최적화;    강건한 가중치 함수;    이상치 감지;    510;   

Others  :  http://s-space.snu.ac.kr/bitstream/10371/131483/1/000000021139.pdf

美国|英语

来源: Seoul National University Open Repository

【 摘 要 】

Successfully automated curve fitting is greatly challenged when applied to large data set. In this paper, we described a algorithm for fitting dose response curves, by estimating four parameters (floor, window, shift, and slope), together with the detection of outliers. Especially, We are proposing an improvement for curve fitting over current methods. That is the detectionof outliers which is performed at the initialization step with correspondentadjustments of the derivative and error estimation functions. Automatic curve fitting of 19,236 experimental dose response experiments shows that our approach outperformed the current fitting methods provided by Matlab nlinfit function.