Markup | Genome Research

Table 3.

Examples: Synthetic, yet Realistic, Intensity (Abundance) and Source (Library) Quality Data for Genes (Assemblies)

Source		Quality		Example
Source		Quality		1	2	3
1	0.26	0.19	0.35	0.64
2	0.27	0.29	0.39	0.68
3	0.22	0.92	0.71	1.00
4	0.20	0.24	0.37	0.66
5	0.26	0.37	0.43	0.72
6	0.65	0.31	0.40	0.69
7	0.29	0.21	0.35	0.64
8	0.26	0.10	0.30	0.59
9	0.26	0.30	0.40	0.69
10	0.26	0.23	0.37	0.65
11	0.21	0.35	0.43	0.72
12	0.28	0.22	0.36	0.65
13	0.26	0.21	0.36	0.64
14	0.25	0.26	0.38	0.67
15	0.22	0.17	0.34	0.63
x̂ _baseline[ii]		0.25	0.38	0.66
gap[iii]		0.55	0.28	0.28
τ[iv]		0.67	0.68	0.68
τ_adjusted [v]		0.67	0.68	0.58

[i] See Fig. 9 for the corresponding intensity vs. source plots. We set f _max = 1 in these examples. See Results for the baseline estimate equation. See Table 4 for the accompanying algorithmic calculations summarized.

[ii] Equation { label needed for disp-formula[@id='E10'] } with k = n − 1.

[iii] Equation { label needed for disp-formula[@id='E3'] }.

[iv] Equation { label needed for disp-formula[@id='E4'] }.

[v] Equation { label needed for disp-formula[@id='E8'] }.