A discriminative method for protein remote homology detection based on N-Gram
“A discriminative method for protein remote homology detection based on N-Gram”, vol. 14, pp. 69-78, 2015.
, Protein remote homology detection refers to detecting structural homology in proteins with an extremely low rate of sequence similarity. Such detection is primarily conducted using 3 methods: pairwise sequence comparisons, generative models for protein families, and discriminative classifiers. In this study, a discriminative classification method involving N-Grams was adopted to extract features using a random forest algorithm to classify data sets.