关于RASA。

On RASA.

作者信息

Faivovich Julián

机构信息

Department of Herpetology, Division of Vertebrate Zoology, American Museum of Natural History, Central Park West at 79th Street, New York, New York, 10024-5192, CERC/Columbia University, 10th Floor, Schermerhorn Extension MC 5557, 1200 Amsterdam Avenue, New York, New York, 10027.

出版信息

Cladistics. 2002 Jun;18(3):324-333. doi: 10.1111/j.1096-0031.2002.tb00154.x.

DOI:10.1111/j.1096-0031.2002.tb00154.x

PMID:34911251

Abstract

Relative Apparent Synapomorphy Analysis (RASA) was recently proposed as a way to measure phylogenetic signal, choose "optimal" outgroups, find long branches, and eliminate long-branch attraction. In this paper it is shown with simple examples that RASA has several problems. The null regression model used by RASA to measure phylogenetic signal does not have a straightforward relation to phylogenetic information. RASA detects long branches, but does not discriminate between long branches that mislead an analysis and those that do not. Rooted RASA, which is used for "optimal outgroup analysis," is shown to be an inappropriate measure of "+esiomorphy content".

摘要

相对表观共衍征分析（RASA）是最近提出的一种用于测量系统发育信号、选择“最优”外类群、发现长枝以及消除长枝吸引的方法。本文通过简单示例表明RASA存在若干问题。RASA用于测量系统发育信号的零回归模型与系统发育信息并无直接关联。RASA能检测到长枝，但无法区分误导分析的长枝和不产生误导的长枝。用于“最优外类群分析”的有根RASA被证明是对“+共衍征含量”的不恰当度量。