Use of principal components analysis and protein microarray to explore the association of HIV-1-specific IgG responses with disease progression.

ABSTRACT: The role of HIV-1-specific antibody responses in HIV disease progression is complex and would benefit from analysis techniques that examine clusterings of responses. Protein microarray platforms facilitate the simultaneous evaluation of numerous protein-specific antibody responses, though excessive data are cumbersome in analyses. Principal components analysis (PCA) reduces data dimensionality by generating fewer composite variables that maximally account for variance in a dataset. To identify clusters of antibody responses involved in disease control, we investigated the association of HIV-1-specific antibody responses by protein microarray, and assessed their association with disease progression using PCA in a nested cohort design. Associations observed among collections of antibody resp

SUBMITTER: Gerns Storey HL 

PROVIDER: S-EPMC3931433 | biostudies-literature | 2014 Jan

REPOSITORIES: biostudies-literature