Ontology highlight
ABSTRACT:
SUBMITTER: Fong Y
PROVIDER: S-EPMC4794618 | biostudies-literature | 2015 Jul
REPOSITORIES: biostudies-literature
Fong Youyi Y Datta Saheli S Georgiev Ivelin S IS Kwong Peter D PD Tomaras Georgia D GD
Biostatistics (Oxford, England) 20141222 3
Protein sequence data arise more and more often in vaccine and infectious disease research. These types of data are discrete, high-dimensional, and complex. We propose to study the impact of protein sequences on binary outcomes using a kernel-based logistic regression model, which models the effect of protein through a random effect whose variance-covariance matrix is mostly determined by a kernel function. We propose a novel, biologically motivated, profile hidden Markov model (HMM)-based mutua ...[more]