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Sequential imputation for multilocus linkage analysis.

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 ma...

詳細記述

保存先:
書誌詳細
主要な著者: Irwin, M, Cox, N, Kong, A
フォーマット: Artigo
言語:Inglês
出版事項: 1994
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC45296/
https://ncbi.nlm.nih.gov/pubmed/7972124
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