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The reason for considering non-inactive compounds, rather than active compounds, in the SAR clustering is that, in many assays, the unspecified and inconclusive compounds are indeed active in many assays.
Naturally the procedure described here also removes a large amount of acceptable data in the context of many assays but this is unavoidable.
Many assays are available to test aspirin sensitivity but most are not specific to aspirin and the degree of agreement between different assays is poor.
Although more than 285 GM field trials across the world were performed between 1990 and 2008 (http://www.gmo-compass.org/eng/database/plants/64.rice.html), it is difficult to establish how many assays are planted for rice.
With typical current bioassay data sources, the Badapple definition of statistical promiscuity effectively allows us to identify compounds that are more likely to be non-selective over many assays and many targets.
The rationale in favor of this approach lies in the advantage of placing as many assays on a single analyzer, rather than maintaining two or more analyzers, because each instrument requires separate quality control (QC), preventive maintenance, record keeping, etc. (Figure 1).
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Many assay methods have been used for disinfection assays.
The extensive worldwide use of diclofenac has aroused researchers to develop many assay methods using various analytical techniques.
This will increase the flexibility with which these aptamers can be adopted and implemented in many assay platforms.
Many assay methods for rapid and high-throughput screening of succinate-producing strains were established [ 30].
Our elastic-net analysis requires complete data across all of the major genomic assay platforms and clinical annotation; there remain many assay data sets that are incomplete.
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