validate sample vs mean scores for expression

[nathandunn]

for default, the scale is smaller than the actual numbers (possibly that is okay).

The samples and expression should not always match.

[nathandunn]

[nathandunn]

vaidating scores using a SMALL set of samples:

[nathandunn]

On LHS, for GLB1 tf targets mean and sample mean are 2.51 . . GTF2B is and sample is 2.42 TAL1 is 2.34

on the RHS: GLB tf 1 targets mean Z Beam is -0.29 . . . . . which is accurate:

 statistics.mean ([1.03, 0.18, 0.08, -0.18, -0.2, -0.44, -0.57, -1.17, -1.35])
 -0.2911111111111111

fior GTF2B: -0.5 . = statistics.mean ([-0.61,0.06, 0.3, 1.05, 0.82, -1.04, -0.73, 1.58, -1.86]) -0.04777777777777778

So that works, but going up,

[nathandunn]

But pathways are calculated via the BPA scores .. so I think that is correct, and not