Computer ScienceBiologyEnvironmental Science
I. Dimitrov, I. Bangov, D. Flower, I. Doytchinova
2014.5.31JOURNAL OF MOLECULAR MODELING
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.