کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
9509371 | 1341390 | 2005 | 27 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Computational approaches to parameter estimation and model selection in immunology
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
ریاضیات
ریاضیات کاربردی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Computational approaches to parameter estimation and model selection in immunology Computational approaches to parameter estimation and model selection in immunology](/preview/png/9509371.png)
چکیده انگلیسی
The approach is illustrated by modelling LCMV infection using a family of models based on systems of ordinary differential and delay differential equations. The models (which use parameters that have a scientific interpretation) are chosen to fit data arising from experimental studies of virus-cytotoxic T lymphocyte kinetics; the parametrized models that result are arranged in a hierarchy by the computation of Akaike indices. The practical illustration is used to convey more general insight. Because the mathematical equations that comprise the models are solved numerically, the accuracy in the computation has a bearing on the outcome, and we address this and other practical details in our discussion.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Computational and Applied Mathematics - Volume 184, Issue 1, 1 December 2005, Pages 50-76
Journal: Journal of Computational and Applied Mathematics - Volume 184, Issue 1, 1 December 2005, Pages 50-76
نویسندگان
C.T.H. Baker, G.A. Bocharov, J.M. Ford, P.M. Lumb, S.J. Norton, C.A.H. Paul, T. Junt, P. Krebs, B. Ludewig,