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If you cannot possibly find a way to counter the argument and consensus seems to favor deletion, try to compromise by suggesting a merge to another article.
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We recently identified a DMD patient with an exon 7 deletion and tried direct translation of the antisense PMO used in dog models to the DMD patient's cells.
This is another contributing factor for deletion if you can try typing it up on word processing programs and spell checking.
Expand articles and try saving articles from deletion.
The proper way to test the contribution of individual genes would be to make the multi-gene deletion model first, establish robust phenotypes and then try to correct the phenotypes by adding back, one gene at a time.
If your article is proposed for deletion, carefully read the nominator's argument and try to figure out what you can do to counter it.
Try to avoid arguing subjectively or sentimentally about the deletion of celebrity and character style articles.
Don't try and get your friends to get involved in a deletion discussion: it isn't a vote and trying to recruit people to your "side" won't help.
In this article, we address a different issue since we try to derive automatic rules to predict when a set of mutations (including deletions and insertions) can enhance protein thermostability and this is novel.
The authors should at the very least try to explore the idea of "assessing protein levels for cells carrying heterozygous single-gene deletions or duplications when transcriptional dosage compensation is ruled out".
Assessment of deletions in this gene could be very misleading if used as a diagnostic approach in patients with CDAD to try to predict who will have more severe disease.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com