Suppr超能文献

用于鉴定弧菌的概率矩阵。

A probability matrix for the identification of vibrios.

作者信息

Dawson C A, Sneath P H

出版信息

J Appl Bacteriol. 1985 Apr;58(4):407-23. doi: 10.1111/j.1365-2672.1985.tb01480.x.

Abstract

A probability matrix for computer-assisted identification of vibrios has been constructed, based on the API 20E system. Data were gathered from 173 strains representing 31 taxa of vibrios and related organisms, from a variety of sources. The matrix was tested internally by four statistical programs. Program OVERMAT tested the separation and program MOSTTYP the discretion and homogeneity of the taxa. Most of the taxa were satisfactory but a few were less so; reasons for this are discussed. Program CHARSEP and program DIACHAR tested the separation and diagnostic values, respectively, of the characters used. The overall test error was 4.5%. The matrix was assessed externally by its performance in the identification of vibrio-like strains isolated from freshwater. Of 243 wild strains, 79.4% were identified with ten taxa, with a Willcox score of greater than or equal to 0.99.

摘要

基于API 20E系统构建了一个用于计算机辅助鉴定弧菌的概率矩阵。数据收集自代表31个弧菌属分类群及相关生物的173株菌株,来源广泛。该矩阵通过四个统计程序进行了内部测试。OVERMAT程序测试分类群的区分度,MOSTTYP程序测试分类群的判别力和同质性。大多数分类群令人满意,但有少数不太理想,对此进行了讨论。CHARSEP程序和DIACHAR程序分别测试了所用特征的区分度和诊断价值。总体测试误差为4.5%。通过其在鉴定从淡水中分离出的类弧菌菌株中的表现对该矩阵进行了外部评估。在243株野生菌株中,79.4%被鉴定为十个分类群,威尔科克斯评分大于或等于0.99。

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