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Pharmaco-miR predictions can therefore be scored on the basis of the original ranking system for the different target predictors.
From the discussion above it should be apparent that prediction of ER status, histological grade of breast cancer, or better or worse prognosis associated with these clinical phenotypes should be relatively easy when considering all breast cancers together, and that such predictions can therefore yield predictors with good overall accuracy.
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Omission of these components in prediction can therefore lead to an underestimate of total power in some cases, although it is recognised that considering all transmission paths in prediction generally is not a practical approach, due to the complex nature of the problem.
The pixel-wise prediction can therefore be used to estimate the astaxanthin distribution in the fillet.
The development of accurate computational methods for protein function prediction can therefore aid in reducing the gap between the speed of whole-genome sequencing and the functional annotation of their encoded proteomes.
Based on the current evidence and on our theoretical predictions, we can therefore distinguish between the cause and the effect of alternative splicing and propose a model of its evolution.
The prediction results can, therefore, be no more reliable than the accuracy of the failure rate data.
SNP genotypes are expected to be good predictors for genomic sequences (haplotypes, gene alleles) and a high prediction accuracy can therefore be reasonably achieved.
The scoring model proposed here is independent of the hairpin prediction step and can therefore be coupled to any in silico or experimental miRNA prediction method.
Our method is very easily parallelizable within the prediction phase and can therefore be considered a practical contribution to the functional genomics toolkit.
The construction of MAPK phylogenies can, therefore, facilitate predictions of the roles of MAPKs in non-model organisms, including those of public health importance.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com