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Greater overlap was observed with datasets for mouse intraperitoneal infections (Thewes et al., 2007).
The method we are to describe can be used with datasets for both inherited single nucleotide polymorphisms (SNPs) and somatic SNVs.
The data source in the present study was the NHIRD which was made available through the National Health Informatics Project, NHIP in Taiwan which provides scientists with datasets for research purposes.
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To test the ability of our method to successfully predict functions and recognize folds, we performed two sets of experiments with datasets designed for these different tasks.
Silicon Valley may have coined the 'big data' buzzword, but genomic scientists have been working with massive datasets for decades.
The data used to train the model was developed from the National Soil Inventory of Scotland (NSIS) datasets, along with spatial datasets for topographic and climatic variables, and for geology, soil type and land cover.
Two tests were carried out with two datasets for performance evaluation.
Being aware of this problem, we used double CV with disjoint datasets for optimization and validation.
We suggest that this new dataset will prove useful in combination with other datasets for studies of germline regulation and gamete differentiation.
Only those with complete datasets for COMPASS were subjected to a full analysis because the COMPASS total score cannot be accurately determined with incomplete data.
Multinomial regression analysis was performed in all patients with complete datasets for age, GCS category, pupillary reflex, and coagulopathy upon ED arrival (n = 102).
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