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Possible explanations for these differences include different study populations; Simon-Tuval and associates [ 30] studied predominantly enrollees of the Clalit Health Services, the largest health maintenance organization in Israel whereas our population was Veterans receiving healthcare through the VHA.
Possible explanations for these differences are analysis of different cell types, use of different microarray platforms and different methods of statistical analysis.
Possible explanations for these differences might be a different definition for HLA class I expression, differences in staining techniques and scoring or a different patient cohort, especially regarding the number of tumours showing microsatellite instability (MSI), which is associated with loss of HLA class I and a better prognosis (Dierssen et al, 2007; Mouradov et al, 2013).
Explanations for these differences are the use of other assumptions and different methods.
We suggest several possible explanations for these differences.
We don't have great explanations for these differences.
Similar(7)
A possible explanation for these differences could be the different type of patients in each study.
A possible explanation for these differences might be the different cell systems used.
One intriguing explanation for these differences might be that telomerase uses different mechanisms to interact with different sequences of telomeric DNA.
The most likely explanation for these differences is that we used different mapping populations.
The explanation for these differences may lie in the different types and/or activation status of cells used for the experiments.
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