Application and interpretation of functional data analysis techniques to differential scanning calorimetry data from lupus patients.

ABSTRACT:

Background

DSC is used to determine thermally-induced conformational changes of biomolecules within a blood plasma sample. Recent research has indicated that DSC curves (or thermograms) may have different characteristics based on disease status and, thus, may be useful as a monitoring and diagnostic tool for some diseases. Since thermograms are curves measured over a range of temperature values, they are considered functional data. In this paper we apply functional data analysis techniques to analyze differential scanning calorimetry (DSC) data from individuals from the Lupus Family Registry and Repository (LFRR). The aim was to assess the effect of lupus disease status as well as additional covariates on the thermogram profiles, and use FD analysis methods to create models for cla

SUBMITTER: Kendrick SK 

PROVIDER: S-EPMC5679774 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature