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Updated: Jul 18, 2025

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
12:27

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

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形态变异性或观察者之间的偏差? 一套方法工具,以提高多研究人员数据集的数据质量,用于分析形态变异

Dominik Schüßler1, Marina B Blanco2, Nicola K Guthrie3

  • 1Institute of Biology and Chemistry, University of Hildesheim, Hildesheim, Germany.

American journal of biological anthropology
|August 22, 2023
PubMed
概括

这项研究开发了一种数据过管道,以减少研究人员在老鼠形态数据中的偏见. 分析揭示了全属性体型变异,并测试了生态规则,为未来的研究提供了一个工具包.

关键词:
这是艾伦的规则.伯格曼的规则 伯格曼的规则这是一个微观的busbus.隐秘的物种是神秘的物种.性尺寸变态性质的变态性质.

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