A method for mining condition-specific co-expressed genes inCamellia sinensisbased on K-means clustering: A case study of “Anji Baicha” tea cultivar
Xinghai Zheng,
Peng Ken Lim,
Marek Mutwil
et al.
Abstract: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 data on tea plants in public databases, conducting large-scale co-expression analyses has become feasible to meet the demand for functional characterization of tea plant genes. However, as the multidimensional noise increases, l… Show more
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