首页> 美国卫生研究院文献>BMC Evolutionary Biology >Inferring ancestral states without assuming neutrality or gradualism using a stable model of continuous character evolution
【2h】

Inferring ancestral states without assuming neutrality or gradualism using a stable model of continuous character evolution

机译:使用稳定的连续角色演化模型推断祖先状态而无需假设中立或渐进

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

BackgroundThe value of a continuous character evolving on a phylogenetic tree is commonly modelled as the location of a particle moving under one-dimensional Brownian motion with constant rate. The Brownian motion model is best suited to characters evolving under neutral drift or tracking an optimum that drifts neutrally. We present a generalization of the Brownian motion model which relaxes assumptions of neutrality and gradualism by considering increments to evolving characters to be drawn from a heavy-tailed stable distribution (of which the normal distribution is a specialized form).
机译:背景技术在系统发育树上演化的连续字符的值通常被建模为粒子在恒定速率下在一维布朗运动下运动的位置。布朗运动模型最适合在中性漂移下演变或追踪中性漂移的最优角色。我们介绍了布朗运动模型的一般化,该模型通过考虑从重尾稳定分布(正态分布是一种特殊形式)得出的演变字符的增量来放宽对中性和渐进性的假设。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号