کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
2070058 | 1078461 | 2013 | 12 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
On the limitations of standard statistical modeling in biological systems: A full Bayesian approach for biology
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
کلمات کلیدی
موضوعات مرتبط
علوم زیستی و بیوفناوری
بیوشیمی، ژنتیک و زیست شناسی مولکولی
بیوفیزیک
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: On the limitations of standard statistical modeling in biological systems: A full Bayesian approach for biology On the limitations of standard statistical modeling in biological systems: A full Bayesian approach for biology](/preview/png/2070058.png)
چکیده انگلیسی
One of the most important scientific challenges today is the quantitative and predictive understanding of biological function. Classical mathematical and computational approaches have been enormously successful in modeling inert matter, but they may be inadequate to address inherent features of biological systems. We address the conceptual and methodological obstacles that lie in the inverse problem in biological systems modeling. We introduce a full Bayesian approach (FBA), a theoretical framework to study biological function, in which probability distributions are conditional on biophysical information that physically resides in the biological system that is studied by the scientist.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Progress in Biophysics and Molecular Biology - Volume 113, Issue 1, September 2013, Pages 80–91
Journal: Progress in Biophysics and Molecular Biology - Volume 113, Issue 1, September 2013, Pages 80–91
نویسندگان
Jaime Gomez-Ramirez, Ricardo Sanz,