cathartic 发表于 2025-3-27 00:00:54

https://doi.org/10.1007/978-1-4614-9443-0Biostatistics; GWAS studies; Genetic disease variation; Genome studies; Risk prediction; Statistics in pu

叫喊 发表于 2025-3-27 02:18:37

978-1-4939-4952-6Springer Science+Business Media New York 2014

盘旋 发表于 2025-3-27 05:50:07

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granite 发表于 2025-3-27 11:32:43

Statistics for Biology and Healthhttp://image.papertrans.cn/d/image/268802.jpg

适宜 发表于 2025-3-27 13:44:24

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CAND 发表于 2025-3-27 20:59:55

Vampire with a Brain Is a Good ITP Hammerchapter focuses specifically on gaining a basic grounding in three general topics:.In addition to these concepts, several important tools for the investigation of linkage disequilibrium and of population heterogeneity are introduced: specifically data from the HapMap project and data manipulation an

Catheter 发表于 2025-3-27 22:47:41

Pascal Fontaine,Hans-Jörg Schurrthe phenotype is discrete (disease/no disease) then case–control methods, . and ., are typically utilized. . for generalized linear models is reviewed, and the ., ., and . tests are defined and discussed. The analysis of data from nuclear family-based designs is also briefly introduced. Issues regar

公社 发表于 2025-3-28 03:05:34

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infelicitous 发表于 2025-3-28 10:18:47

Frontiers of Computational Science a particular study. This chapter first reviews haplotype frequency estimation and .. It gives the details of EM estimation and haplotype imputation for a small number of SNPs using data from unrelated subjects and then considers the extension of this method to larger number of SNPs. The partition-l

Fretful 发表于 2025-3-28 11:32:00

https://doi.org/10.1007/978-981-15-4818-5s that have been genotyped in a particular study. Imputed SNP analysis is in certain respects identical to haplotype analysis since the imputed SNPs are on specific haplotypes or haplotype combinations. Testing imputed SNPs as well as genotyped SNPs is thus simply a more focused kind of haplotype an
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查看完整版本: Titlebook: Design, Analysis, and Interpretation of Genome-Wide Association Scans; Daniel O. Stram Book 2014 Springer Science+Business Media New York