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Using preoperative and 5-week postoperative lateral cephalometric radiographs, an analysis was designed to assess the difference between the planned and actual advancement of the maxilla.
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A physical model based on a thermodynamic analysis was designed to characterize the combustion reaction parameters.
A multiscale analysis was designed using three different vegetation habitats (forest, scrubland and grassland) and landscape matrices (woodland, scrubland and grassland).
A transcriptomic analysis was designed to describe the whole blood differential transcriptomal response to poly I C by pigs with high vs. low IFN alpha levels.
A cluster analysis was designed, in which the performance during the TMS condition was exchanged with the performance during the no-TMS condition for a random subset of subjects, and the t-tests were subsequently recomputed.
To investigate this and identify independent risk factors, a multivariate analysis was designed including CD2, CD34, and CD56.
A multiphasic WES analysis was designed to find a causative NSHL mutation.
The Methylation Ligation-dependent Macroarray (MLM), an array-based analysis, was designed in order to measure methylation levels of 58 genes previously described as putative biomarkers of cancer.
A new approach based on laryngeal ultrasound acquisition and using a dedicated data analysis was designed to help with the automated detection of RP.
A multi-parameter analysis was designed and simultaneous stained cells with AOH and BFU COINs, for detecting two phosphorylation events in a single cell.
To access the regulatory efficiency of each dysregulated miRNAs, a dynamic perturbation analysis was designed by applying the PerturbationAnalyzer Cytoscape plug-in [18], a convenient tool for calculating the perturbation effect in a PPI network by comparing equilibrium states.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com