MARKOV-PROCESSES FOR MODELING AND ANALYZING A NEW GENETIC-MAPPING METHOD

被引：35

作者：

FEINGOLD, E ^{[1
]}

机构：

[1] STANFORD UNIV,STANFORD,CA 94305

来源：

JOURNAL OF APPLIED PROBABILITY | 1993年 / 30卷 / 04期

关键词：

MARKOV CHAIN; BOUNDARY-CROSSING PROBABILITY; POISSON APPROXIMATION;

D O I：

10.2307/3214511

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

This paper describes a set of stochastic processes that is useful for modeling and analyzing a new genetic mapping method. Some of the processes are Markov chains, and some are best described as functions of Markov chains. The central issue is boundary-crossing probabilities, which correspond to p-values for the existence of genes for particular traits. The methods elaborated by Aldous (I 989) provide very accurate approximate p-values, as spot-checked against simulations.

引用

页码：766 / 779

页数：14