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An analysis of the Bristol open dataset indicates that there are numerous possibilities for the development of smart solutions.
Our finding of substantial biases in the Kiryu et al. (2007a) dataset indicates that there are systematic departures of predictions from the reference structures.
The dataset indicates that there may be a possible role of preoperative radiological characteristics for providing information previously only available postoperatively to aid management decisions.
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The enriched motifs are quite different in both datasets, indicating that there are multiple regulatory avenues to regulate the RNA methylome through sequence specificity.
Also, all p-values for the explanatory variables exhibited homogeneous variable distribution across the three derivation datasets, indicating that there was no need to investigate potential problems in the use of these explanatory variables at this stage.
However, tree topology comparisons of data from alignments containing a maximum of 20% gapped columns in the UP-50 L and SP-50 L datasets indicate that there is a statistically significant difference between the tree topologies of interacting and non-interacting proteins.
A high R-value for a dataset indicates that the dataset contains wide overlapping areas among its categories, and classification accuracy on the dataset may become low.
Our dataset indicates that miR-21 is highly responsive to androgen treatment in normal prostate.
The joint dataset indicates that 11% (2339 proteins) of the human proteome may undergo S-palmitoylation.
Examination of the ABCWUA dataset indicated that arsenic concentrations in several wells were correlated with pumping.
Analysis of the GATA5 comparison dataset indicated that the pooling scheme allowed for accurate subject identification.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com