A user-driven machine learning approach for RNA-based sample discrimination and hierarchical classification
STAR Protocols(2023)
摘要
RNA-based sample discrimination and classification can be used to provide biological insights and/or distinguish between clinical groups. However, finding informative differences between sample groups can be challenging due to the multidimensional and noisy nature of sequencing data. Here, we apply a machine learning approach for hierarchical discrimination and classification of samples with high-dimensional miRNA expression data. Our protocol comprises data preprocessing, unsupervised learning, feature selection, and machine-learning based hierarchical classification, alongside open-source MATLAB code.
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关键词
sample discrimination,machine learning,classification,machine learning approach,user-driven,rna-based
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