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A further difference to our approach was that several potential inhibitors were not considered for experimental testing due to missing features assumed to be important for inhibition, which might have removed potent compounds.
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Missing features represent lost battles.
But there are lots of rough edges and missing features.
And these aren't minor missing features.
Critical missing features, dubious features and bugs are documented, filed and prioritized.
Many features contain redundant information and therefore can compensate for missing features from other groups.
In contrast, missing feature and uncertainty decoding approaches typically assume p(b n ) to be a time-varying pdf [4, 27].
But there was one missing feature.
A vital aspect of missing feature recognition is still the estimation of the feature uncertainty.
Failure assumed for missing data (missing=failure)—assumed that missing data reflected poor outcome, for example, relapse.
There were twelve people missing and assumed dead offshore Nova Scotia.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com