A method for mining condition-specific co-expressed genes in Camellia sinensis based on k-means clustering
Background: As one of the world’s most important beverage crops, tea plants (Camellia sinensis) are renowned for their unique flavors and numerous beneficial secondary metabolites, attracting researchers to investigate the formation of tea quality. With the increasing availability of transcriptome d...
Main Authors: | Zheng, Xinghai, Lim, Peng Ken, Mutwil, Marek, Wang, Yuefei |
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Other Authors: | School of Biological Sciences |
Format: | Journal Article |
Language: | English |
Published: |
2024
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/178803 |
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