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Robust regression methods for real-time polymerase chain reaction



Robust regression methods for real-time polymerase chain reaction



Analytical Biochemistry 480: 34-36



Current real-time polymerase chain reaction (PCR) data analysis methods implement linear least squares regression methods for primer efficiency estimation based on standard curve dilution series. This method is sensitive to outliers that distort the outcome and are often ignored or removed by the end user. Here, robust regression methods are shown to provide a reliable alternative because they are less affected by outliers and often result in more precise primer efficiency estimators than the linear least squares method.

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Accession: 058784322

Download citation: RISBibTeXText

PMID: 25862086

DOI: 10.1016/j.ab.2015.04.001


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