BioinformaticsbioRxivPreprint
Random forest machine learning algorithm classifies white- and brown-rot fungi according to the number of Carbohydrate-Active enZyme genes
Natsuki Hasegawa, Masashi Sugiyama, Kiyohiko Igarashi
The paper uses random forest machine learning to classify white- and brown-rot fungi based on CAZyme gene counts with over 98% accuracy.
DOI 10.1101/2024.03.15.585254