Natsuki Hasegawa

Random forest machine learning algorithm classifies white- and brown-rot fungi according to the number of Carbohydrate-Active enZyme genes

The paper uses random forest machine learning to classify white- and brown-rot fungi based on CAZyme gene counts with over 98% accuracy.