The customization reduces the algorithmic knowledge requirements on users and allows users to concentrate on model development and data analysis, rather than programming and compatibility issues.
R should be used as the back-end language for data analysis in all platforms, to aid future compatibility of software and exchange of already developed analysis modules.
Roper and Shapira's [ 37] framework for analysis of ethnographic data was used because of: a) the relevance to ethnographic data, b) the clarity and transparency of the systematic approach, and c) the compatibility of the approach with computer-assisted qualitative data analysis software.
An Ergonomic Compatibility Survey was used and the procedure for the data analysis is described.
This level of processing challenges led to studies of the compatibility of different microarray platforms [ 23– 28] which usually is achieved by standardizing protocols and data analysis pipelines [ 29, 30].
participated in data analysis.
Data analysis and applications.
W.L.K. performed data analysis.
performed the data analysis.
Sarah Cohen provided data analysis.
