最大似然法和贝叶斯统计在大分子晶体学中的新应用。
New applications of maximum likelihood and Bayesian statistics in macromolecular crystallography.
作者信息
McCoy Airlie J
机构信息
University of Cambridge, Department of Haematology, Cambridge Institute for Medical Research, Wellcome Trust/MRC Building, Hills Road, Cambridge CB2 2XY, UK.
出版信息
Curr Opin Struct Biol. 2002 Oct;12(5):670-3. doi: 10.1016/s0959-440x(02)00373-1.
Abstract
Maximum likelihood methods are well known to macromolecular crystallographers as the methods of choice for isomorphous phasing and structure refinement. Recently, the use of maximum likelihood and Bayesian statistics has extended to the areas of molecular replacement and density modification, placing these methods on a stronger statistical foundation and making them more accurate and effective.
摘要
最大似然法作为同晶型相位测定和结构精修的首选方法，为大分子晶体学家所熟知。最近，最大似然法和贝叶斯统计学的应用已扩展到分子置换和密度修正领域，为这些方法奠定了更坚实的统计学基础，使其更加准确有效。
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