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Statistical Genetics and Its Applications in Medical Studies
Author(s) -
Ao Yuan,
Wenqing He,
Gengsheng Qin,
Qizhai Li
Publication year - 2014
Publication title -
computational and mathematical methods in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.462
H-Index - 48
eISSN - 1748-6718
pISSN - 1748-670X
DOI - 10.1155/2014/712073
Subject(s) - bayesian probability , identification (biology) , statistical genetics , bayes' theorem , computer science , data science , artificial intelligence , biology , genomics , genetics , gene , genome , botany
Statistical genetics can be viewed as a classical branch of applied probability and statistics, which has recently gained much momentum, due to the significant breakthroughs in genetics. With the availability of modern techniques, new methods, and significantly increased data information, it is imperative to study the relationship between gene traits such as diseases and genetic susceptibilities in an unprecedented manner. This area is among the hottest topics in applied statistics, applied mathematics, biological/medical studies, and other related sciences.

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