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The problem with this prediction is that it is not specific at all.
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This prediction is coherent with experimental findings.
But maybe this prediction is wrong, too.
This prediction is reasonable.
This prediction was unfounded.
But this prediction wasn't made bitterly.
Will this prediction be correct?
This prediction was experimentally verified.
Another potential problem with miRNA target prediction is that, because the genetic information about miRNA target prediction is relatively sparse in rodents compared to humans, all procedures and software involved in target prediction are based on homologous human miRNAs, that may also increase the false discovery and false negative rates.
The inherent problem with predictions is that they are either so safe as to be boring, merely plotting the next point along a straight trend line, or they are so provocative as to be wrong.
Even if seemingly smart people think they know what's going to happen in the long run and quite a few are worried the problem with predictions is that the short run can last for quite a long time.
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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