Functional connectivity of in vitro neuronal networks was estimated by applying different statistical algorithms on data collected by Micro-Electrode Arrays (MEAs).
Data may often have uses unforeseen by the original creators and further information may be extracted by applying different techniques or integrating with other data sets.
By applying different kinds of large scale data, such as exon array and EST, lots of progresses have been made.
In addition, the accuracy of the estimated saturated soil hydraulic conductivity, Ks, and sorptivity, S, was assessed by applying different BEST algorithms to the data obtained with the infiltrometer.
The performance of these techniques needs to be evaluated and compared [17], [18], and this can be accomplished by applying different inference methods to the data obtained from biomolecular networks of which the structure is assumed to be known a priori, i.e. "gold standard networks" [19] [21].
In our future studies, we will explore more into meta-analysis of microarray data by applying different statistics like meta correlation instead of chi- square statistics.
Subsequently, several distance matrices were computed for each data set by applying different SR functions to these estimated statistics.
All these trees were generated by applying different methodologies and using different databases, data sets, and sources of phylogenetic signals (supplementary table S1, Supplementary Material online), which makes the search for a consensus species tree especially meaningful.
Data were obtained by applying different image processing strategies [ 46].
