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In the present study, we used MS-based analysis to quantify global alterations of histone PTMs in matched normal and colon cancer samples.
We used threshold-based analysis to quantify the density of immunostaining for myelin (myelin basic protein/SMI94 and cyclic nucleotide 3-phosphodiesterase [CNPase]), axons (phosphorylated neurofilament/SMI31), and dendrites (microtubule associated protein MAP2) for each ROI (using Image Pro Plus).
Finally, surrogate models using the modified wave loads are compared with those based on FSI analysis to quantify any additional modeling uncertainty introduced and provide further guidance for fragility assessment of coastal bridges.
Conventional techniques for optimal experimental design are based on local sensitivity analysis to quantify parameter effects on the output.
In addition the model is proposed based on hydraulic calculations and tray geometry analysis, to quantify the column capacity for heat transfer.
In this report, we extend the analysis to quantify trade-offs based on quality of life (QL) and quality-adjusted survival (QAS).
We also performed an analysis to quantify the difference between phenotype frequency and predicted phenotype frequency based on the frequency of LP-associated alleles.
To resolve such potential difficulties of SYBR Green based analysis of loxP containing sequences we therefore developed an alternative assay to quantify 1lox/2lox allele ratios using a probe based Real-Time PCR approach.
The overall aim of this paper is to develop a global sensitivity analysis based framework to dynamically quantify the individual and interactive influence of algorithm parameters on algorithm performance.
Supervised classification of the aerial photography using object based image analysis was used to quantify woody and non-woody vegetation components in the imagery.
The purpose of this analysis was to quantify the spatial structure of natural vegetation that was potentially used by jaguars based on published and verified observations within the study area.
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