Partial least squares regression, support vector machine regression, and transcriptome-based distances for prediction of maize hybrid performance with gene expression data

标题
Partial least squares regression, support vector machine regression, and transcriptome-based distances for prediction of maize hybrid performance with gene expression data
作者
关键词
-
出版物
THEORETICAL AND APPLIED GENETICS
Volume 124, Issue 5, Pages 825-833
出版商
Springer Nature
发表日期
2011-11-18
DOI
10.1007/s00122-011-1747-9

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