Based on the above data, we utilised principal component analysis to develop expression signatures for both the Role of APC in Cell Cycle Regulation and the Transcription/CREB pathways.
However, the historical logging data we utilised was based on expert opinion (Additional file 1: Table S6) so, given its importance, further work developing and evaluating historical variables is needed (Additional file 1: Table S7).
To establish and enhance the reliability of our microRNA microarray data, we utilised two different platforms.
In conjunction with literature data, we now utilise the exposure data to generate estimates of economic impacts of MeHg exposures in Europe.
Now, based on the data sets utilised, we may conclude: combining feature selection with apt penalization of absence of features can improve the classification performance of the Bernoulli Naive Bayes algorithm, in particular when the value of (L_{s}) is large and the training pattern vectors are highly sparse (in the sense described in "Background").
Although this investigation does not heavily utilise the topography data we present the principles of the instrument operation here for completeness.
In the case of missing data points, we utilised last observation carried forward.
To complement our own immunohistochemistry [ 1] and the Nature TCGA 2012/cBioPortal amplification-data, we have utilised a novel RNA in situ hybridization platform (RNAScope; Advanced Cell Diagnostics, Hayward, CA) [ 17], in a large oestrogen receptor alpha negative (ERα-ve) cohort of breast cancer patients (n > 300).
The themes from the data were utilised to develop a model of PSI formation.
Thematic and performance analysis 25 of the data utilised the constant comparison method 26 concurrent to data generation, utilising NVivo9 software to code data during analysis.
In cases where studies utilised secondary/published data, we reviewed the data at the cited source.
