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.

Thanks @7etsuo for your comment. This is the celegans_neural_activity dataset. Did you mean to leave this comment under our celegans_connectome_dataset? We will take a look and correct errors in our preprocessing there.

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!

Hi @7etsuo , we updated the dataset files. Please take a look and let us know of any problems. Thank you for your feedback.

qsimeon changed discussion status to closed

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