This allowed us to investigate the consistency of cortical thinning across multiple data samples and also, by pooling the data across sites, provide a highly precise large-sample estimate of the regional magnitude of cortical thinning in AD.
In 14, FC data are modeled as hierarchical Dirichlet process Gaussian mixture model (HDPGMM) to solve the dual problems of finding rare events potentially masked by nearby large populations and to provide alignment of cell subsets over multiple data samples.
More systematic citizen involvement in volcanology can also be used, however, to collect multiple data points that sample eruptive products or the properties of volcanic fallout or flows, furthering the understanding of physical processes (Bernard [2013]; Stevenson et al. [2013]).
Similarly, if data sets were misaligned, then individuals would cluster by data set of origin; this pattern would be most evident for populations sampled in multiple data sets (e.g., separate Yoruba samples in the HGDP-CEPH and African data sets).
When multiple types of omic data are available for the same samples, multiple data files can be specified using wildcards.
The relative expression level was calculated using the relative expression software tool (REST©), which compares two treatment groups with multiple data points in the sample compared to the control groups and calculates the relative expression ratio between them.
Note that this threshold is larger than 10-7 used in traditional GWAS with correction for multiple comparisons in data samples of similar size.
This subgroup provided an opportunity to examine injury occurrence using multiple data sources within the same sample.
However, we believe that the main use of SAIL is in a centralized instance holding data from many providers and used to identify samples across multiple data sources.
Multiple data sets from the same sample types were coassembled, which produced between 3,139 and 148,338 contigs with an N50 of 1.4 kb–4.6 kb.
