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Biostatistical and bioinformatics evaluation of gene expression pattern was performed using the Resolver software (Rosetta Biosoftware).
The speciation of As metabolites (iAs, MMA, and DMA) in urine for assessment of the metabolite pattern was performed using ion-exchange chromatography as described by Vahter et al. (1995).
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For example, forecasting of demand and supply patterns was performed using the two-step switching regression and linear probability models (LPM).
Analysis of PFGE patterns was performed using GelCompar software (Applied Maths, Austin, TX, USA).
Classification of searching behaviors and their associated swim patterns was performed using a parameter-based algorithm, which allows comparisons between the contributions of each respective strategy consistently against the same standard.
Numerical analysis of BOX patterns was performed using the MVSP 3.1 software [ 32].
Syllable classification of theta-chunked Ge spike patterns was performed using two different neural codes.
Differentiation of banding patterns was performed using BioNumerics (version 6.1; Applied Maths, Kortrijk, Belgium) and visual inspection.
Analysis of spot patterns was performed using ImageMaster 2D Platinum software (version 6.0; GE Healthcare).
However, no comprehensive characterization of the overall hydrocarbon patterns was performed using substructure annotations.
The cluster analysis of gene expression patterns was performed using the cluster 3.0 software and the "Java Treeview" software.
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