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These bionetwork analyses use a large number of microarray transcriptome analyses under different perturbations to identify gene clusters and modules that are coordinately regulated [ 33, 34].
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It is desirable to infer the detailed S-velocity structure in a broad region beneath the Northern Pacific by analyses using a large number of waveforms for many earthquakes and stations.
All validated variants were chosen for further analyses using a large cohort of breast cancer patients.
It would also be instructive to perform similar analyses using a large scale biological feature to identify a preferred strand.
We added new mitogenomic sequence data from six cichlid species and conducted phylogenetic analyses using a large mitogenomic data set.
Further analyses using a large cohort of breast cancer patient specimens with associated clinical outcomes data helped assess if the levels of Ecd overexpression correlate with patient outcome.
To accomplish our study aims we used a mixed methods approach that included quantitative data analyses using a large database of U.S. malls, literature reviews, and qualitative interviews with key informants.
To investigate the genetic basis of phenotypic differences between the precocious and normal ecotypes of E. globulus, we first conducted QTL analyses using a large outcross F2 pedigree (n = 467) designed specifically to maximize segregation of ecotypic differences.
We also performed association analyses using a larger set (~ 12 million) of typed SNPs available from the sequencing data.
Further studies, including multivariate analyses using a larger sample size, are required to clarify whether AT1R can be an independent prognostic factor or not.
Further analyses using a larger sample size or high coverage data of mRNA decay rate are required to reach a definite conclusion.
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