A-machine-learning-model-for-psychrophilic-proteins

#This is machine learning (ML) models for discrimination of psychrophilic enzymes. Support vector machines, K-nearest neighbor, random forest, and naïve Bayes, and three descriptors i.e., amino acid composition (AAC), dipeptide combinations (DPC), and AAC+DPC were developed using iLearnPlus platform.

The protein sequnces are available on the protein sequences file.

The proposed model are available.