We have created the second positive dataset from the single-domain PPIs as described in the methods.
To explore the effect of patient level covariates on outcome, we carried out a further one step metaregression analysis by creating a single large dataset from the individual patient data.
However, patient information in a single repository is potentially vulnerable to loss of the entire dataset from a single unauthorized intrusion.
To date GSE41271 (Sato et al., 2013), which included 176 samples from GSE42127 (Tang et al., 2013), was the largest NSCLC dataset from single institution in the United States (n = 275).
For the present analysis, a single dataset from the TraumaRegister DGU® had to be produced containing all variables for the six scoring systems and algorithms that were assessed.
We carried out the analyses using a subset of the dataset, corresponding to the sequences obtained from the single genotype PG653.
Validation using a single independent dataset from the same population of patients as used for construction of the signature is sufficient if the protocols used are unbiased and appropriately powered.
Cuffmerge was then used to create a single transcript dataset from the multiple reconstructions.
Furthermore, this chapter turns to the discussion of some of the concepts introduced in the preceding sections with an example dataset from a single-subject event-related fMRI experiment.
Native dataset and a complete MAD dataset from single crystals of SeMet incorporated NBD94566 663 were collected at 100 K on beamline BL26B2 at SPring-8 using a Mar CCD 225 detector.
More generally, taxa displaying suspicious phylogenetic position were removed from the single-gene dataset.
