Suppr超能文献

通过逐步最大似然回归对性别特异性图谱距离进行简约估计。

Parsimonious estimation of sex-specific map distances by stepwise maximum likelihood regression.

作者信息

Fann C S, Ott J

机构信息

Research Foundation for Mental Hygiene, New York State Psychiatric Institute, New York, USA.

出版信息

Genomics. 1995 Oct 10;29(3):571-5. doi: 10.1006/geno.1995.9964.

Abstract

In human genetic maps, differences between female (xf) and male (xm) map distances may be characterized by the ratio, R = xf/xm, or the relative difference, Q = (xf - xm)/(xf + xm) = (R - 1)/(R + 1). For a map of genetic markers spread along a chromosome, Q(d) may be viewed as a graph of Q versus the midpoints, d, of the map intervals. To estimate male and female map distances for each interval, a novel method is proposed to evaluate the most parsimonious trend of Q(d) along the chromosome, where Q(d) is expressed as a polynomial in d. Stepwise maximum likelihood polynomial regression of Q is described. The procedure has been implemented in a FORTRAN program package, TREND, and is applied to data on chromosome 18.

摘要

在人类遗传图谱中,雌性(xf)和雄性(xm)图谱距离之间的差异可以用比率R = xf/xm或相对差异Q = (xf - xm)/(xf + xm) = (R - 1)/(R + 1)来表征。对于沿染色体分布的遗传标记图谱,Q(d)可被视为Q相对于图谱区间中点d的曲线图。为了估计每个区间的雄性和雌性图谱距离,提出了一种新方法来评估Q(d)沿染色体的最简约趋势,其中Q(d)表示为d的多项式。描述了Q的逐步最大似然多项式回归。该程序已在FORTRAN程序包TREND中实现,并应用于18号染色体的数据。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验