Datasets:
Serious Inconsistencies in Gap Junction Weights
#3
by
7etsuo
- opened
The dataset shows unacceptable discrepancies. For instance, after aggregating data the gap weight from VD1 to VD2 is 2.333 while the reverse is 7.000. Such differences violate the expected symmetry in gap junctions. This undermines the reliability of the dataset and demands a thorough review of your data collection and processing methods.
I did, yeah.
Hey @7etsuo . Would you be willing to share a snippet or screenshot of the code you used to reproduce the gap junction discrepancy? In particular, it would be helpful to understand the aggregation method you applied to arrive at the 2.333 vs. 7.000 asymmetry. This could help us pinpoint whether the inconsistency stems from the data or upstream processing. Appreciate your help!
qsimeon
changed discussion status to
closed