Distribution of fit parameters. A simple linear fit, \(\hat{A}_{ij} = m \cdot Q_{j} + b\) was computed for each gene \(i\), and a correlation coefficent \(r\) calculated. For brevity, \(\bar{x}\) is the mean of some variable \(x\), and \(\sigma_x\) is its standard deviation.
Protocol \(\bar{m}\) \(\sigma_m\) \(\bar{b}\) \(\sigma_b\) \(\bar{r}\) \(\sigma_r\)
TruSeq 1.01 0.0698 -0.108 1.05 0.98 0.019
Clontech 1.01 0.12 -0.217 1.79 0.95 0.061
TotalScript 0.952 0.129 0.715 1.93 0.93 0.094
Smart-seq2 1.03 0.121 -0.506 1.82 0.95 0.057
Smart-seq2, 2.5 fold dilution 0.996 0.111 0.0623 1.67 0.96 0.053
Smart-seq2, 5 fold dilution 1.01 0.111 -0.173 1.66 0.96 0.049

\label{tab:fits}