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The user interface and modules to access the data were implemented using PHP.
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Normalization and analysis of the microarray data were implemented using Bioconductor.
All ESC and GCT mRNA array data were implemented using the Affymetrix Human Genome U133 Plus 2.0 chips.
To estimate the genetic and environmental components of variance of the traits, twin model fitting of raw data was implemented using the statistical package Mx [ 37].
The work of Aljaafreh, Alshabatat, and Najim [76] that uses fuzzy logic inference for online identification of abnormal driving data was implemented using Fuzzylite [84], a free and open source fuzzy logic control engine for multiple platforms, including Android.
The forms and pertinent data reports were implemented using the integrated tools of the local CIS.
Pupillometric data were preprocessed (see online Supplementary Material) and all further data analyses were implemented using STATA12®.
Data analyses were implemented using version 9.1 of SAS statistical software (SAS Institute, Cary, NC, USA) and StatXact (Cytel Software, Cambridge, MA, USA).
These various data fusion strategies were implemented using hydrological data for the River Ouse gauge at Skelton, above York, in Northern England.
To be comparable to the measured opacity, the calculations of the opacity were implemented using the radiosonde data above 370 m (i.e., height of the MWR instrument).
All the algorithm for data gathering and processing were implemented using Python.
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CEO of Professional Science Editing for Scientists @ prosciediting.com