Self-organizing Maps for Missing Value Imputation in Transcriptomic Datasets

doi:10.1007/978-3-032-02725-2_11

2026-01-01

PRE

Louzanne Swart

Andries P. Engelbrecht *

Lyn-Marié Birkholtz

DOI：10.1007/978-3-032-02725-2_11

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摘要

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本文提出了一种基于自组织映射的转录组数据集缺失值插补方法。该方法首先在数据的完整子集上训练自组织映射，然后将含有缺失值的实例输入到训练好的映射中，利用最佳匹配单元对实例中的缺失值进行插补。实验结果表明，自组织映射在转录组数据集的缺失值插补应用中具有良好前景。

Keyword:

Transcriptomics

missing value imputation

gene expression

self-organizing maps

期刊

ADVANCES IN COMPUTATIONAL INTELLIGENCE, IWANN 2025, PT I

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论文数:

被引数:

机构

stellenbosch university

学者数:

1.4W

论文数: 1.2W

被引数: 17

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