| 期刊全称 | Applied Computational Genomics | | 影响因子2023 | Yin Yao Shugart | | 视频video | | | 发行地址 | Provides detailed introduction for the evolution of the field.Reviews statistical development and application in the area of human genomics.Describes the view of future direction towards translational | | 学科分类 | Translational Bioinformatics | | 图书封面 |  | | 影响因子 | "Applied Computational Genomics" focuses on an in-depth review of statistical development and application in the area of human genomics including candidate gene mapping, linkage analysis, population-based, genome-wide association, exon sequencing and whole genome sequencing analysis. The authors are extremely experienced in the area of statistical genomics and will give a detailed introduction of the evolution in the field and critical evaluations of the advantages and disadvantages of the statistical models proposed. They will also share their views on a future shift toward translational biology. The book will be of value to human geneticists, medical doctors, health educators, policy makers, and graduate students majoring in biology, biostatistics, and bioinformatics. Dr. Yin Yao Shugart is investigator in the Intramural Research Program at the National Institute of Mental Health, Bethesda, Maryland USA. | | Pindex | Book 2012 |
The information of publication is updating
|
|
发表于 2025-3-21 19:53:34
