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Since most of candidate sequences identified from the databases are computationally generated without subsequent manual annotation, it is likely that many predictions may contain errors.
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In fact, the miRNA-mRNA interactions defined only by computational prediction may contain false-positive results in terms of "functional" pairs, because the two molecules may not be expressed together.
However one may expect that potency is important to prediction and may contain useful information.
Importantly, even in the absence of subgroup effects defined by univariable characteristics, a multivariable adjusted prediction model may contain such modifications of treatment effect.
Motivation: Quality assessment of protein structures is an important part of experimental structure validation and plays a crucial role in protein structure prediction, where the predicted models may contain substantial errors.
Furthermore, since we used sub-cellular localization information to eliminate potential false positive protein associations, this information, too, is to some degree based on predictions alone and may contain erroneous assignments.
A dense cluster detected by the traditional methods by blindly treating all protein-protein interactions in the PPI network to be able to occur simultaneously may be a false prediction as it may contain several mutually-exclusive interactions.
We further investigated these 12 predictions as drug databases may contain noise.
AASs that were predicted as unknown may contain harmful variations, however they are excluded as the predictions are not reliable for them.
Test results on the tRNA data set demonstrates the true advantage of incorporating coaxial stacking into prediction of ncRNAs that may contain coaxial stacking motifs.
Metabolic pathways were extracted from four databases as each database may contain false positive pathway predictions.
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