Abstract:Background: The CLV3 / ESR-RELATED ( CLE ) gene family encodes small secreted peptides (SSPs) and plays vital roles in plant growth and development through cell-to-cell communication. The prediction and classification of CLE genes is challenging because of their low sequence similarity. Results: We developed a machine learning-aided method for predicting CLE genes by using a CLE motif-specific residual score matrix and a novel clustering method based on the Euclidean distance of the 12 amino acid residues from… Show more
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