Sentence examples for which identified significant from inspiring English sources

Our interpretation and analysis also draw upon published cluster analyses which identified groups of households with similar patterns of activities in each area and regression analyses which identified significant factors explaining variation in income levels across households (Serneels et al. 2009).

These results are consistent with our mapping analysis, which identified significant GWAS regions located on those chromosomes.

The AWM served as input for the PCIT algorithm which identified significant gene-gene interactions with impact on weight traits and metabolomic traits.

Our findings appear to contrast with those of a recent small clinical trial performed by our group, which identified significant increases in tissue microvascular flow and oxygenation but no changes in inflammatory mediators after major surgery [ 6].

The data set was investigated further by haplotype analysis across each of the six loci, which identified significant differences in frequencies between cases and controls for ABCB11 and ABCB4.

We then performed an eQTL analysis on all the Geuvadis and non-Geuvadis samples, which identified significant cis-eQTLs for 8,034 unique genes (of which 84% were replicated in the Geuvadis DNA-seq-based eQTL data, 99.87% with identical allelic direction).

Finally, natural frequency factor envelopes are developed, which identify significant differences in the bounds, across a range of aspect-ratios, between Standard laminate configurations and the previously assumed Cross-ply designs.

In order to characterize debt consolidation processes in Spain, we proceed following the approach in the seminal paper by Alesina and Perotti (1995) which identifies "significant fiscal impulses" in OECD countries between 1960 and 1992, in order to study the determinants of "successful" budget consolidation processes.

Data mining was performed by using the ChipInspector analysis software (Genomatix, Munich, Germany), which identifies significant changes based on single probes.

Also, the model output represents the population averaged effect, which identifies significant population trends while allowing for donor individuality.

To address this question, we applied different computational analysis strategies with an emphasis on network-based approaches, which identify significant gene-gene associations from the expression data.