Several data analysis algorithms exist for the analysis of gene expression data resulting from cDNA microarray experiments.
A wide variety of software tools now exist for the analysis, simulation, and sizing of PV systems.
Several analytical techniques exist for the analysis of phosphorylation, e.g., Edman sequencing and 32P-phosphopeptide mapping for localization of phosphorylation sites.
Several analytical techniques exist for the analysis of phosphorylation, e.g., Edman sequencing and 32P-phosphopeptide mapping for localization of phosphorylation sites, but these methods do not allow high-throughput analysis or imply very laborious operations [21], while using MS, high-throughput analysis of phosphorylated protein residues can be developed [22, 23].
With respect to clinical features as diagnostic factors, few studies in adults exist for the analysis of favourable, unfavourable diagnosis and sequelae [8], [24], [25].
Various parameters exist for the analysis of local blood flow, including RBC flux, RBC velocity, plasma flow, blood vessel diameter and functional capillary density.
Different methodologies exist for the analysis of renal stones.
Various statistical approaches exist for the analysis of gene sets.
Two theories exist for the analysis of the responses of patients to items.
No methods currently exist for the analysis of data from multi-way, multi-source experimental setups.
