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As more data are provided in Semantic Web, processing large amounts of data with triple-format triple-data, and interlinking the applications with triples, have become important for a variety of applications.
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Importantly, machine learning classification will only improve as more data is provided and more sophisticated algorithms are developed.
As more data are collected, it will provide a more accurate risk estimation of breast and ovarian cancer associated with splicing alterations.
As more data are analyzed, the CaMEO Study will continue to provide a naturalistic understanding of the longitudinal course and consequences of EM and CM; quantify variations in headache frequency, headache-related disability, comorbidities, medication use, and effect of migraine on the family unit; and contribute a wealth of information to the limited amount of data on CM.
First, more detailed phenotypic data are provided in RADB.
Data are provided as n.
Data are provided as median (interquartile range).
Data are provided as frequencies and percentages.
Furthermore with the analytical framework provided here, these data and results can be improved and tested further as more data is collected, even at non-candidate loci.
Microbiological data were provided as datasheets.
The data were provided by the authors as raw.CEL files.
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CEO of Professional Science Editing for Scientists @ prosciediting.com