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We performed further analyses with a combined dataset from the three populations to distinguish the relationship between GC-effect and size-effect.
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We construct a panel dataset from the four waves of international PISA tests spanning 2000-2009, coverising oner one million students in 42 countries.
Cluster analysis was applied on the total dataset from the two seasons.
The proposed genetic unit averages of pseudo-model (Eq. 4) was validated using dataset from the four (4) fields within various depositional environment of the Niger Delta.
The proposed model validation indicates an excellent adjusted correlation coefficient and lower errors based on analysis of variance (ANOVA) using approximately 1000 routine core and well log dataset from the four distinct environments of deposition.
The population analysis was carried out using a combined dataset from the two separate studies, as detailed below.
Comparing the datasets from the three countries allowed the economists to draw their conclusion.
Phenotypic datasets from the three experimental environments were coupled with the genotypic data using Windows QTL Cartographer 2.5 software [ 27].
A comparison of the extracted drug-target datasets from the three databases revealed that only 4% of human drug targets were common to all three drug databases [ 20].
To compare the CNV datasets from the three platforms, a CNV was described as overlapping another CNV if there was an overlap of at least 1 bp.
The 6 datasets from the three ruminant species were obtained from different bovine microarrays, including cDNA arrays (ARK-genomics and National Bovine Functional Genomics Consortium, NBFGC) and commercial oligonucleotide arrays containing 43,768 unique probes (CombiMatrix CustomArray®, CombiMatrix Corporation, Seattle, WA, USA) (Table 1).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com