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Estimating the relaxation constant of an exponentially decaying signal from experimental MR data is fundamental in diffusion tensor imaging, fractional anisotropy mapping, measurements of transverse relaxation rates and contrast agent uptake.
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Meticulous quality control of the post-processed data was fundamental in this study and evidence of aberrant pathlines indicating data imperfections was carefully sought.
Thus, the ability to construct, analyze, and interpret integrated-omics data is fundamental to understanding gene function in systems biology.
Availability of high quality genomic data is fundamental for the improvement and advancement of research in any biological organism.
Open data is fundamental to the central role that cities are playing as innovative leaders in the 21st century.
The matching of algorithm to data is fundamental for efficacy.
Understanding data dependencies is fundamental in implementing parallel algorithms.
However, preclinical and clinical trial data are fundamental to provide the scientific basis in support of stem cell therapy.
Feature subset selection and dimensionality reduction of data are fundamental and most explored area of research in machine learning and data mining domains.
As described in the literature review, privacy and confidentiality of data are fundamental concerns with international HIS implementations [ 5].
Data are fundamental.
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