Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1947338 | Biochimica et Biophysica Acta (BBA) - General Subjects | 2016 | 9 Pages |
Abstract
DSC thermograms show sensitivity to changes in the bulk plasma proteome that correlate with clinical status. To move this technology towards clinical application the development of new approaches is needed to extract discriminatory parameters from DSC profiles for the comparison and diagnostic classification of patients. This article is part of a Special Issue entitled Microcalorimetry in the BioSciences - Principles and Applications, edited by Fadi Bou-Abdallah.
Keywords
DSCCPEXPLSPLS discriminant analysisPLS-DAtmaxTFMROCGLMAUCSmoothly clipped absolute deviationLinear discriminant analysisLDAThermogramLeast absolute shrinkage and selection operatorPartial least squaresLogistic regressionDiagnostic classificationSystemic lupus erythematosusSLESVMSupport vector machinesGeneralized linear modelarea under the curveprincipal componentPlasma proteomeDifferential scanning calorimetryScadLASSOreceiver operating characteristic
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Authors
Nichola C. Garbett, Guy N. Brock,