HIGHLIGHTS
- who: Yotaro Katayama and Tetsuya J. Kobayashi from the Graduate School of Engineering, The University of Tokyo, Tokyo, Japan, Institute of Industrial Science, The University of have published the article: Comparative Study of Repertoire Classification Methods Reveals Data Efficiency of k-mer Feature Extraction, in the Journal: (JOURNAL)
- what: In this study, by investigating how these preceding methods behave in response to the change in the effective size of a dataset, the authors show that the performance of both methods deteriorates rapidly when the dataset size becomes smaller than a certain size. The authors show . . .
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