Computer ScienceBiologyEnvironmental Science

I. Dimitrov, I. Bangov, D. Flower, I. Doytchinova

2014.5.31JOURNAL OF MOLECULAR MODELING

DOI: 10.1007/s00894-014-2278-5

tlooto Summary

A set of novel models for allergen prediction utilizing amino acid E-descriptors, auto- and cross-covariance transformation, and several machine learning methods for classification are reported, including logistic regression (LR), decision tree (DT), naïve Bayes (NB), random forest (RF), multilayer perceptron (MLP) and k nearest neighbours (kNN).

Abstract

Abstract is not available.

Citation format

DIMITROV, I., et al. Allertop v.2—a server for in silico prediction of allergens. JOURNAL OF MOLECULAR MODELING, 2014, 20: 1–6.