【摘 要】
：
Penalized regression methods are becoming an important tool in genome-wide association studies (GWAS) for identifying genetic markers associated with disease.However, standard penalized methods such a
【机 构】
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University of Iowa Department of Statistics and Actuarial Science University of Iowa, Iowa City, IA
【出 处】
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The Third IMS-China International Conference on Statistics a
论文部分内容阅读
Penalized regression methods are becoming an important tool in genome-wide association studies (GWAS) for identifying genetic markers associated with disease.However, standard penalized methods such as the LASSO do not make efficient use of the information contained in genetic marker data from GWAS, since they do not take into account the possible linkage disequilibrium between adjacent markers.
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