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The sources of variation in the dataset were explored using cluster analysis and dominant biogeochemical processes under varying hydrologic conditions were obtained using reactive transport modeling.
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This number of contradictions is the same with the amount of contradictions identified when the dataset was explored using ConTra.
Genetic structuring in the dataset was explored using the Bayesian clustering method STRUCTURE v2.2 [61], which can assign individuals to genetic clusters without taking into account sample origin.
Geographical differences in suicidal ideation and attempts were explored using two datasets encompassing urban and rural community residents to examine associations between socioeconomic, demographic and mental health factors.
The exclusive motifs in positive or negative dataset may be a major driver for this differential behavior; these motifs were explored using MERCI software.
The datasets used in this manuscript can be explored using the cBio Cancer Genomics Portal at http://www.cbioportal.org/public-portal/ [ 21].
The approach will also be explored using a clinical dataset.
This hypothesis was explored using homology modelling.
Other aspects of the CardioGxE dataset were explored.
Initially, the dataset was explored by carefully designed phylogenetic analyses using PAUP 4.0 [ 68] for maximum parsimony, PHYML 3.0 [ 69] for maximum likelihood and MrBayes 3.1.2 [ 70] for Bayesian Inference of phylogeny as described in Wang et al. [ 39].
The publicly available transcriptome datasets were explored and the expression pattern of 23 genes were analyzed using qRT-PCR in reproductive tissues.
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CEO of Professional Science Editing for Scientists @ prosciediting.com