Sequential imputation for multilocus linkage analysis.
Sequential imputation for multilocus linkage analysis.
复制标题
多位点连锁分析的序贯插补。
DOI：
10.1073/pnas.91.24.11684
复制
发表时间：
1994
影响因子：
11.1
通讯作者：
Kong,A
中科院分区：
文献类型：
--
作者：
Irwin,M;Cox,N;Kong,A
A Monte Carlo method called sequential imputation is proposed for multilocus likelihood computations. This method is most useful in mapping situations where the data consist of large pedigrees with substantial missing information and it is desirable to perform linkage analysis utilizing data from many polymorphic markers simultaneously. A pedigree example with 155 individuals, 9 loci, and 155,520 haplotypes is used for illustration.
