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The data set comprised of 15 breast cancer patients who underwent three dynamic FLT PET scans.
The data set comprised 203 (10 m × 10 m) sites with corresponding landscape-scale environmental variables, and 100 sites with corresponding site-bound edaphic (physical and chemical) variables.
The data set comprised segmented regions of interest (ROIs) from coronal and sagittal 3-T magnetic resonance images of the MFC and MTC cartilage of young patients, 28 with abnormality-free knee and 16 with pathological findings.
The data set comprised of accident characteristics (time, day, month, type of accident, number of injured victims), victims age and gender, road type, road feature and area around accident site.
The data set comprised data from 1,321 affected sib pairs genotyped for 298 microsatellite markers [7], [8].
For DPZ animals, the data set comprised 63 samples from 11 animals with a mean ± SE per individual of 5.7±1.5 (range 2 18).
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The data set comprising 299 proteins was first analyzed by using PSORTb, PA, and ProtCompB.
The uncorrected (p) genetic distances were calculated using DAMBE v.5.6.7 (Xia 2013) for the data set comprising both, the 15 mitochondrial genes and the 4 nuclear loci (MLall/BIall, with third position), and for the data set comprising only the 4 nuclear loci (MLnucl + ITS/BInucl + ITS) (supplementary table S2, Supplementary Material online).
Furthermore, in the data sets comprised of paired-end reads the entire fragment was counted only once to maintain comparability with the single-end samples.
The data sets comprised 154 samples in 30 sample types, 23 papers, and 11,299 genes with 12 different types of RNA editing sites.
This CART model explains 81% of the variance in the data set comprising 56 measurements.
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