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Updated: Jul 24, 2025

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
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Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

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项目:一个强大的混合模型缺失值归算方法

Weijia Kong1,2,3, Bertrand Jern Han Wong1, Harvard Wai Hann Hui1

  • 1School of Biological Sciences, Nanyang Technological University, Singapore.

Briefings in bioinformatics
|July 7, 2023
PubMed
概括

ProJect是一种新的混合模型方法,用于缺失值归算 (MVI),其性能优于现有的技术. 它准确地处理高通量生物数据中的各种缺失数据类型,改进分析和机器学习模型开发.

关键词:
生物信息学是一种生物信息学.随机失踪 (MAR) 是一个随机的失踪.没有随机失踪 (MNAR)缺失值归算 (MVI) 的方法统计 统计 统计 统计 统计

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