Darkening of the scattering pattern was analyzed using the ImageJ 1.41 software (public domain, W. Rasband, National Institute of Mental Health, USA).
The global velocity fields and streamline patterns were analyzed using the particle image velocimetry (PIV).
The overall permafrost distribution patterns were analyzed using the ARCGIS software.
Firing patterns were analyzed using the method based on the determination of density histogram developed by Kaneoke and Vitek [21] as previously described [18], [22].
The different gene expression patterns were analyzed using the Array Assist software version 2.0 (Stratagene, La Jolla, California, United States) that calculated a robust multi-array average of background-adjusted, normalized, and log-transformed intensity values applying the Robust Multi-Array Average algorithm (RMA).
The XRD patterns were analyzed using the MDI JADE 6.0 program (Materials Data Inc., Livermore, CA).
Subsequently, BOLD activation patterns were analyzed using the LIBSVM-based RFE.
Readmission patterns were analyzed using the data from the Massachusetts database, which includes unique patient identifiers [ 10].
Genome-wide DNA methylation patterns were analyzed using the Illumina 450K Human Methylation Array, which interrogates over 480,000 CpG dinucleotides in the genome, including over 4000 on Chromosome 21 itself, and were correlated with scores related to cognitive function.
Although electron, neutron, and X-ray scattering are based on different physical processes, the resulting diffraction patterns are analyzed using the same coherent diffraction imaging techniques.
