However based on the knowledge from previously published papers [ 16, 21, 22, 30] the phenotypic differences in lines generated by two transformation methods might be attributed to different copy numbers of transgene integrated to the genome as well as the DNA/transgene rearrangements.
An important task is to determine to what extent these differences can be attributed to different analysis methods and to what extent to different data.
These differences can be attributed to different methods of detection of VEGF expression, such as immunohistochemistry, ELISA, and RT-PCR [ 1, 4].
These differences are again attributed to different sample preparations, as well as different measurement methods and algorithms.
This difference may be attributed to different detection methods in the same age group because PCR and microscopy detection were used in this study, while serological detection was used in the Changchun study.
These large differences have been attributed to different elicitation methods [ 19] (e.g. from people with and without stroke or health experts [ 8]) including the type and range of tool used; timing of elicitation between the event and the assessment; differences in age and gender; and the variance for weights obtained [ 13].
These inconsistencies might be attributed to different methods for the estimation of dietary intake and the different stages of economic development in the time periods examined between the data from these three countries and CHNS.
These differences are sometimes of an order of magnitude, and cannot always be attributed to different methods.
These conflicting structures may be attributed to different methods used to collect the data and/or the computational approaches used to determine the structures (Subramaniam, 2006).
The difficulty in interpreting forest response to drought in the Amazon may be attributed to different methods in processing the satellite data [14] and apparent inconsistencies between satellite-observed green-up [4], [5] and plot-based evidence of mortality and biomass loss [7].
