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Some genetic methodologies to differentiate colonized research animal strains earned publication [ 9- 11], yet none for routine discrimination of conspecific mosquito laboratory strains exist.
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Song et al (2013) completed this study using the same methodology to differentiate true progression from pseudoprogression using histogram analysis of ADC.
Other publications focus on correct analytical methodology to differentiate or combine mediation and moderation effects (e.g. [ 15]), and a further group of publications relates the methodological issues associated with moderator/mediator analysis to specific groups of patients, e.g. [ 16, 17]).
Current methodologies fail to differentiate mucinous from nonmucinous pancreatic cystic lesions with a high degree of accuracy with accurate diagnosis in only 50 70% of cysts.
This integrative methodology is a strategy to differentiate clinically relevant subsets of patients.
However, the published research methodology does not describe the ability to differentiate active unaltered SMX from the various metabolites.
A comparison of various clustering methodologies indicates that 2d topological fingerprints are able enough to differentiate the molecules according to their binding to various conformations.
Well established methodologies such as Gene Set Enrichment Analysis (GSEA) [ 40], employ pathways as functional units to differentiate between experimental populations.
We do not agree with the methodology of using a training set without MCI to select biomarkers to differentiate between AD and MCI [1].
Unfortunately, we would be unable to differentiate between lysines and arginines using the current methodology.
This methodology employs the mean value of the atmospheric pressure in the winter to differentiate the wet, medium and dry years in terms of rainfall and flow at different temporal scales.
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