کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5371490 1503955 2010 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Statistical analysis of plasma thermograms measured by differential scanning calorimetry
موضوعات مرتبط
مهندسی و علوم پایه شیمی شیمی تئوریک و عملی
پیش نمایش صفحه اول مقاله
Statistical analysis of plasma thermograms measured by differential scanning calorimetry
چکیده انگلیسی

Melting curves of human plasma measured by differential scanning calorimetry (DSC), known as thermograms, have the potential to markedly impact diagnosis of human diseases. A general statistical methodology is developed to analyze and classify DSC thermograms to analyze and classify thermograms. Analysis of an acquired thermogram involves comparison with a database of empirical reference thermograms from clinically characterized diseases. Two parameters, a distance metric, P, and correlation coefficient, r, are combined to produce a 'similarity metric,' ρ, which can be used to classify unknown thermograms into pre-characterized categories. Simulated thermograms known to lie within or fall outside of the 90% quantile range around a median reference are also analyzed. Results verify the utility of the methods and establish the apparent dynamic range of the metric ρ. Methods are then applied to data obtained from a collection of plasma samples from patients clinically diagnosed with SLE (lupus). High correspondence is found between curve shapes and values of the metric ρ. In a final application, an elementary classification rule is implemented to successfully analyze and classify unlabeled thermograms. These methods constitute a set of powerful yet easy to implement tools for quantitative classification, analysis and interpretation of DSC plasma melting curves.

Graphical AbstractResearch Highlights►Research Highlights ►Statistical methods for plasma thermogram analysis. ►Characterization of disease states. ►Analysis of simulated plasma thermograms. ►Classification of Healthy and SLE (lupus) thermograms.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Biophysical Chemistry - Volume 152, Issues 1–3, November 2010, Pages 184-190
نویسندگان
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