Machine learning classifiers predict key genomic and evolutionary traits across the kingdoms of life

HIGHLIGHTS

• who: Logan Hallee from the Center for BioinformaticsUniversity of have published the paper: Machine learning classifiers predict key genomic and evolutionary traits across the kingdoms of life, in the Journal: Scientific Reports Scientific Reports
• what: The model was developed using the remaining groups of the training dataset, and its performance was evaluated on the validation dataset.
• how: The authors used the default method of the Euclidean distance a distance or dissimilarity metric to compute the pairwise differences between data observations.

SUMMARY

The authors examined codon usage frequencies in the . . .

 



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