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Further studies may need to be performed to test this possibility when more of datasets of these tumor types are available.
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Finally, we show results for 454-FLX reads of mean length 254 bp (range: 230 270 bp), more typical of datasets produced by the 454-FLX platform.
A subset of 6 genes was identified in VDAC1 overexpressing NSCLC datasets associated with significant differential expression in 50% or more of the datasets.
Moreover, based on this data, approximately half of the UCEs acting as enhancers show evidence of significant, above noise, expression in mouse in one or more of the datasets utilized.
A more detailed list of datasets is provided in Additional file 2. We have used the machine learning library WEKA [34] (v3.7.13) for modeling and selected three well known classifiers: random forests [35], naive Bayes [36] and support vector machines [37].
Because the test under randomized topologies is a more realistic representation of datasets, its result serve as a better reference for the practical consideration of the HGTector application.
Several eGenes demonstrated strong genetic influences in more than 80% of datasets (n ≥ 42), including PEX6, GSTM3, PPIL3, MRPL43, and CHURC1.
A further 868 of the non-redundant sequences (31%) had matches to proteins in the Tribolium dataset, as well as to proteins in one or more of the other datasets.
PS-IRV is more consistently the best performer as more of the smaller datasets are excluded Fig. 4 Simulated target-prediction experiment: AUC scores as dataset size grows.
We have compiled a list with SNP loci that in two or more of our Bristol datasets show HA sequence (Table S2).
It is possible that biases within one or more of these individual datasets are having a measurable effect on the outcome of the topological analysis.
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