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Updated: Jun 10, 2025

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
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形态测量数据是否可以改善遗传学重建? 一个系统的审查和评估.

Emma J Holvast1, Mélina A Celik2, Matthew J Phillips2

  • 1School of Archaeology and Anthropology, The Australian National University, Canberra, Australia. Emma.Holvast@anu.edu.au.

BMC ecology and evolution
|October 18, 2024
PubMed
概括

几何形态测量 (GMM) 数据可以改善遗传学推断,但目前的研究表明它不会增加遗传学准确性. 需要更多的研究来比较连续和离散的形态数据,以便更好地进行遗传学重建.

关键词:
连续的字符 连续的字符几何形态仪表的几何形态仪表.标志性的地标 标志性的地标植物系重建的重建.定量字符 定量字符 定量字符形状 形状 形状

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