DNA Yield and Concentration Modeling by Age, A260/280 and A260/230 Ratios Using Multiple Linear regression (MLR), Bootstrap and Response Surface Methodology (RSM).

Bootstrap, Multiple Linear Regression (MLR) and Response Surface Methodology (RSM) were a collection of statistical tool technique for analyzing data from various fields. Combining this idea was very useful for the modeling with an advanced analysis and possibly could be an alternative method for modeling options in applied statistics scope.Merging these methods was capable to handle the case of small sample size and limited data.This report supplied a comprehensive modeling of genomic deoxyribonucleic acid (gDNA) yield and concentration with age, A260/280 ratio and A260/230 ratio asindependent variables using advanced statistical tools. Thisobtainedmodel could be used as a noteworthy reference in genotyping and genetic epidemiological studies.The DNA yield and concentration was estimated through the Multiple Linear Regression Analysis (MLRA). Overall results showed that age, A260/280 and A260/230 ratios play an important role in predicting the DNA yield and concentration.