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Help needed: How to interpret the output file from "X_aggregate_comparison_bound" with multiple conditions and others...
Hi,
I am comparing the progression of 3 samples: WT >> PR >> CR in that order. Like a pseudo timeseries.
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In the attached file "...._aggregate_comparison_bound.pdf" which compares foot prints across WT, PR, CR, but is a 4 x4 matrix of figures. How and why is this plotted this way? How do I interpret each comparison? CREB5_HUMAN.H11MO.0.D_CREB5_HUMAN.H11MO.0.D_aggregate_comparison_bound.pdf
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In the "bindetect_results" (see example below) aggregated file how are the comparisons done, like A vs B? According to the WIki
"""The differential binding score for the TF between the two conditions. Negative values imply more bound in condition2"""
I can conclude that more of the TF in row 1 is bound in PR than in WT? -
Is there a fold change kind of metric that can be interppreted? How would I say "PR binds x times more than WT" or something like that?? Or is that really not possible?
Thanks!
| WT_mean_score | WT_bound | PR_mean_score | PR_bound | CR_mean_score | CR_bound | WT_PR_change | WT_PR_pvalue | PR_CR_change | PR_CR_pvalue |
|:-------------:|:--------:|:-------------:|:--------:|:-------------:|:--------:|:------------:|:------------:|:------------:|:------------:|
| 0.12317 | 9176 | 0.1576 | 12962 | 0.12729 | 10392 | -0.39182 | 4.91846E-196 | 0.26183 | 7.30073E-180 |
| 0.12048 | 9206 | 0.1542 | 12956 | 0.12466 | 10353 | -0.38908 | 1.55481E-193 | 0.26221 | 1.57677E-178 |
| 0.12065 | 9146 | 0.15503 | 12801 | 0.12446 | 10190 | -0.38507 | 8.11777E-196 | 0.2623 | 1.69253E-175 |
| 0.11889 | 9269 | 0.15139 | 12902 | 0.12237 | 10345 | -0.371 | 8.53009E-190 | 0.25516 | 3.64172E-175 |
| 0.12249 | 9165 | 0.15483 | 12726 | 0.12736 | 10384 | -0.36164 | 8.01726E-193 | 0.23559 | 6.60438E-176 |
| 0.12688 | 9777 | 0.15732 | 13264 | 0.13116 | 10980 | -0.33052 | 4.48453E-192 | 0.21647 | 1.56954E-173 |
| 0.11789 | 6394 | 0.14368 | 8370 | 0.12053 | 7177 | -0.32588 | 2.63666E-175 | 0.22962 | 3.20349E-167 |
| 0.12538 | 10090 | 0.15298 | 13428 | 0.12722 | 11098 | -0.30566 | 6.51881E-190 | 0.21202 | 2.39010E-172 |