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By applying mass flow rate sinks at each valve as identified, the correlation between analytical and experimental results is shown to be much better than if the idealized, kinematically obtained source functions are used instead.
Specifically, we performed gene ontology analysis by using the lupus gene signatures (derived from comparisons between lupus versus control samples and also between lupus active versus inactive samples) and identified the correlation and statistical significance between lupus and any other disease.
Interestingly, a recent study identified the correlation between ER stress- induced apoptosis and IRAK-2.
We identified the correlation of miR-9-3p, miR-150-3p, miR-378-3p miR-378-3p miR-378-3pssion with that of gexpressionved in immune/inflammatory response (e.g., IFNG and IL17F), apoptosis (e.g., PDCD4 and PTEN), and cell proliferation (e.g., NKX3-1 and GADD45A).
We improved yeast's tolerance to alkane biofuels by modulating the expression of the wild-type and site-mutated Pdr1p and Pdr3p, and extensively identified the correlation between Pdr transcription factors and tolerance improvement by analyzing gene patterns, alkane transport, ROS, and membrane integrity.
Amongst unilaterally deaf dogs in which the side of deafness was identified, the correlation in the side affected (ie left- or right-hand side) between dogs within the same litter was explored by fitting a null multilevel logistic model using Stata's -xtmelogit- command (Stata version 11, StataCorp, College Station, Texas, USA) with dog fitted within litter within the dog's kennel of origin.
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Based on these parameters, sites showing nonlinear behavior were identified; the correlations between these parameters and PGA, PGV, V S30, and A max were investigated.
Previous studies have not identified the correlations of differential gene expressions between different conditions; therefore, some abnormal regulation correlations may not have been detected.
Previous studies have not identified the correlations of differential gene expression between conditions; crucial but abnormal regulations that cause diseases might have been disregarded.
Because previous studies have not identified the correlations of differential gene expression between conditions, crucial but abnormal regulations that cause diseases might have been disregarded.
The statistical analysis was carried out using SPSS 13 to identify the correlation between selected water quality parameters.
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