Microarrays were scanned in Agilent Gene Scanner (Affymetrix), following which raw data processing was performed with the Microarray Suite software, version 5, with a global scaling factor for target intensity equal to 500.
A taxonomy is built based upon data representations, i.e., tensor imaging data, brain network data, and multi-view data, following which the relationships between different data mining algorithms and different neuroimaging applications are summarized.
The user is then asked to define simulation settings, following which, pertinent spatial data is extracted from raster files and sent to variables in the VENSIM simulation model.
The resulting distribution was determined using a robust Gaussian distribution fitting procedure with outlier removal (10% of the data), following which the mean and standard deviation (SD) were calculated.
Interview questions were informed by the relevant literature, a pilot interview with one NP participant and an observation of two nurse practitioners at one site prior to data collection, following which questions were revised.
The service attributes influencing service quality were first determined via the critical incident technique (CIT), following which a questionnaire was designed for data collection.
The data were subjected to statistical normalization and filtering, following which 15,495 genes remained for network construction.
Data was cleaned by the second investigator before being locked, following which analysis was conducted by the lead investigator.
The following paragraphs describe which data were extracted.
