کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
2034695 1543049 2016 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Methods for comparing multiple digital PCR experiments
ترجمه فارسی عنوان
روشهای مقایسه آزمایشات PCR دیجیتالی چندگانه
کلمات کلیدی
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک علوم کشاورزی و بیولوژیک (عمومی)
چکیده انگلیسی

The estimated mean copy per partition (λ) is the essential information from a digital PCR (dPCR) experiment because λ can be used to calculate the target concentration in a sample. However, little information is available how to statistically compare dPCR runs of multiple runs or reduplicates. The comparison of λ values from several runs is a multiple comparison problem, which can be solved using the binary structure of dPCR data. We propose and evaluate two novel methods based on Generalized Linear Models (GLM) and Multiple Ratio Tests (MRT) for comparison of digital PCR experiments. We enriched our MRT framework with computation of simultaneous confidence intervals suitable for comparing multiple dPCR runs. The evaluation of both statistical methods support that MRT is faster and more robust for dPCR experiments performed in large scale. Our theoretical results were confirmed by the analysis of dPCR measurements of dilution series.Both methods were implemented in the dpcR package (v. 0.2) for the open source R statistical computing environment.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Biomolecular Detection and Quantification - Volume 9, September 2016, Pages 14–19
نویسندگان
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