Stereotypical Examples of Selective Expression in Real Data as Detected by the Algorithm
| Example | No. | x̂ baseline [ii] | λ[iii] | gap[iv] | τ[v] | log10(sp adjusted)[vi] | d [vii] | Overall confidence ins.e. |
| A | 87 | 0.03 | 1.0 | 0.78 | 0.78 | −56.0 | 1.0 | very strong |
| B | 41 | 0.10 | 1.0 | 0.66 | 0.67 | −18.8 | 0.7 | strong |
| C | 47 | 0.20 | 1.0 | 0.34 | 0.34 | −8.5 | 0.3 | weak |
[i] See Fig. 10 for corresponding intensity vs. source plots. See Results for discussion. The equations’ parameter values are the same as those used in Table 4.
[ii] Equation { label needed for disp-formula[@id='E10'] } with k = n − 1.
[iii] Equation { label needed for disp-formula[@id='E9'] }.
[iv] Equation { label needed for disp-formula[@id='E3'] }.
[v] Equation { label needed for disp-formula[@id='E8'] }.
[vi] Equation { label needed for disp-formula[@id='E11'] }.
[vii] Equation { label needed for disp-formula[@id='E15'] }.