We curate a sizable, relatively high confident core dataset by literature reading and construct a MAP predictor based on the representative sequence features extracted from this core dataset.
In this way, we have obtained an improved, highly confident, TR dataset for 4670 yeast genes in standard growing conditions (Table S1).
They applied this algorithm to a "confident ESE/ESS dataset", generated from similar sources as in Ke et al. [31], [34], [36], containing 666 "trusted" ESE hexamers and 386 trusted ESS hexamers.
We are therefore confident that the dataset that we provide will be a useful source of information to direct studies of PDZ-domain signaling pathways.
However, after exclusion of cases with poor data quality, we are confident that the dataset represents a cross section of falls in preschool children who were admitted to hospital.
Accordingly we are reasonably confident that the datasets give a reasonable profile of the Irish population at each time period.
However, we are confident that the current dataset accurately represents the management of ED patients in our hospital.
Thus, we are confident that the final dataset represents a sample of mtDNA haplotypes from Ae. aegypti.
We are confident that our transcriptome dataset is a valuable addition to the publicly available tea genomic information.
Thus we are confident that the Smed454 dataset will improve our understanding of how planarian regeneration works at the molecular level.
