BMC Bioinformatics

Table 8 Hypothetical data used to generate Figures 10, 11. Calculation of relative expression follows \( {10}^{-\left({b}_1-{b}_2\right)} \), where b represents the y intercept, and the subscripts c, t1, and t2 represent control, treatment1, and treatment2 respectively

From: Application of the common base method to regression and analysis of covariance (ANCOVA) in qPCR experiments and subsequent relative expression calculation

Treatment	Temperature (̊C)	\( {\Delta C}_q^{(w)} \)
Control	22	0.511		b_t1 − b_c	−0.2873
Control	24	0.540		Lower CI	−0.3159
Control	26	0.615		Upper CI	−0.2586
Control	28	0.694		\( \hat{R} \)	1.938
Control	30	0.798		Upper \( \hat{R} \)	1.814
Control	32	0.801		Lower \( \hat{R} \)	2.070
Control	34	0.895
Control	36	0.985
Treatment1	22	0.238		b_t2 − b_c	−0.2843
Treatment1	24	0.241		Lower CI	−0.3129
Treatment1	26	0.394		Upper CI	−0.2556
Treatment1	28	0.401		\( \hat{R} \)	1.924
Treatment1	30	0.452		Upper \( \hat{R} \)	1.801
Treatment1	32	0.511		Lower \( \hat{R} \)	2.055
Treatment1	34	0.631
Treatment1	36	0.673
Treatment2	22	0.236		b_t2 − b_t1	0.0030
Treatment2	24	0.261		Lower CI	−0.0257
Treatment2	26	0.388		Upper CI	0.0317
Treatment2	28	0.424		\( \hat{R} \)	0.993
Treatment2	30	0.462		Upper \( \hat{R} \)	0.930
Treatment2	32	0.513		Lower \( \hat{R} \)	1.061
Treatment2	34	0.586
Treatment2	36	0.695

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