The phrase "applicable differences between" is correct and usable in written English.
It can be used when discussing distinctions or variations that are relevant in a particular context or comparison.
Example: "In this study, we will explore the applicable differences between the two methodologies used in data analysis."
Alternatives: "relevant differences between" or "pertinent differences between".
Where applicable, statistical differences between the different groups tested were evaluated using Student's t-test and results were expressed as means ± s.e.m.m
Whenever applicable the differences between normal cells and tumour cells will be highlighted in order to show potential strategies for cancer treatment.
At each time point, data were compared with baseline and, where applicable, the difference between treated and untreated sites was compared, and the difference was expressed as a variation percentage.
χ-tests, Fisher exact tests, paired t-test or Wilcoxon tests were used, where applicable, to analyse differences between independent variants using R console (http://www.r-project.org/index.html) or GraphPad Prism (GraphPad Software, Inc., La Jolla, CA, USA).
Paired Student's t-tests or two-way ANOVA followed by the student-Newman-Keuls test were used, where applicable, to assess significant differences between groups.
Here, we present MMDiff, a robust, broadly applicable method for detecting differences between sequence count data sets.
Without adjustments for survival differences between different tumour types (as shown previously in Additional file 4A), these tools are only applicable in within-tumour-type survival network discovery.
It is applicable in research in which differences between group means are studied and test scores are used as the dependent variable, and in which the main goal is to decide whether the null hypothesis of equal group means is true.
Because the studies were conducted in essentially the same way they are described together, noting differences between them where applicable.
With the increased availability of functional genomic resources in many taxa, the expression-based approach will likely prove to be broadly applicable in the genetic dissection of differences between populations and species.
