Sentence examples for the discrepancy in the data from inspiring English sources
Therefore, it is likely that the discrepancy in the data reported in the literature may be due to the different scales of investigations and different testing setup, for example, organ-level mechanical properties combined with the average ultrastructural material properties.
However, it needs to be noted that a direct network comparison between the humans and mammalians is difficult because of the discrepancies in the data acquisition, region definition and network construction.
The discrepancies in the data might be explained by differences in the techniques used to detect cytokines (Pananomics/Raybio antibody arrays vs. ELISA) or differences in the phenotype and composition of astrocyte-enriched cultures obtained from postnatal day 0 1 vs. postnatal day 4 mice.
This may explain the discrepancies in the data, as another study using G4 mTERC−/− reported loss of alveolar integrity coupled with similar telomere signal loss, as observed in our mice (32).
The strongest evidence supporting this explanation for the discrepancy in the methoxyflurane data is provided by a comparison with toluene.
The discrepancy in the final year of data for Yorkshire and Humber may be due to young adults being underrepresented in the THIN population of this region in the final year of the study (as shown in additional file 1).
These methodological differences in the approaches explain the discrepancies in the two data sets.
The reviewer highlights the discrepancies in the source data we use in our inference process.
The discrepancies in the input data used by each method may contribute to the discordant results we observed.
Because of the discrepancies in the literature data, a direct enzymatic comparison between β-glucosidase from A. niger and T. reesei was performed.
Despite the fact that the patient series reported by Biankin et al only accounts for 8% of all patients included in the combined analysis and 14% of the weighting allocated to the pooled survival data, the discrepancy in the results is such that sufficient heterogeneity is introduced to require a random effects approach resulting in a non-significant result for the overall analysis.
