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Van Klaveren et al. (2011) therefore rely mainly on functional form assumptions to solve the measurement issue.
These studies are based mainly on functional MRI which includes cerebral perfusion, cortical activation (induced or by means of resting state techniques) and metabolic studies with spectroscopy.
Our knowledge of this interaction is based mainly on functional magnetic resonance imaging studies, but there is little direct evidence on how these changes manifest in terms of dynamic neuronal activity.
However, most of these studies focus mainly on functional sex differences in higher order (associative) brain areas, thereby ignoring possible sex differences in primary auditory cortices.
While our initial manuscript was based mainly on functional validations (e.g. number of centrioles for Sas-6 depletion), we have now validated in addition every key siRNA (Mad2, Sas-6, KIF2a and MCAK) by immunoblotting.
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Moreover, the features used in existing servers were mainly focused on functional annotations (GO terms), pathways, transcription factor binding sites (TFBSs) and/or protein protein interactions (PPIs).
In this special issue, we mainly focus on functional "-omics" and bioinformatics.
In the past decade, many in silico studies on proteomes have mainly focused on functional annotation of individual proteins.
These analyses are mainly based on functional association of changes in gene expression between different cell states or phenotypes.
Mainly items on functional impairment and prevention resulted in high number of initiatives taken by the doctors.
Nevertheless this definition is mainly based on functional assays and methodological artefacts have hampered the identification of these organelles in TEM.
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