For non-isotopic or label-free MS-based quantitative analysis, ion chromatogram intensity or observed peptide spectral counts are compared using quantitative software tools [ 68- 76].
In order to investigate whether gene copy number was a factor in this differential expression, the karyotypes of these two cell lines were compared using G-banding in combination with Spectral karyotyping (SKY) analyses.
The effects of varying the stimulation parameters, namely, the stimulation frequency, the stimulation intensity, and the duty cycle, as well as the spectral interrogation volume, were compared using data acquired from the rectus femoris muscle.
Spectral counts were then compared using the TFold method of the PatternLab software [ 49].
Spectral features were also compared using the SUMSPEC program (a graphing and data analysis program available from the National Biomedical ESR Center at the Medical College of Wisconsin, Milwaukee) to generate the second harmonic.
Using time series composites, spectral indices were calculated and compared using a hexagonal grid ring model to assess changes in vegetative and urban patterns.
Three points of view are developed and compared (namely, using spectral theory, structure preserving similarities, and factorisation theory).
Modelling coffee foliar N using vegetation indices produced better accuracy (R2 = 0.71 with RMSE = 0.27 for all and R2 = 0.73 with RMSE = 0.25 for optimized variables), compared to using spectral bands (R2 = 0.57 with RMSE = 0.32 for all and R2 = 0.58 with RMSE = 0.32 for optimized variables).
For the LDC problem, results for Re= 1000 are compared with results using spectral methods in Botella and Peyret [O. Botella, R. Peyret, Benchmark spectral results on the lid-driven cavity flow, Comput. Fluids 27 (1998) 421 433] to calibrate the method in solving the steady state problem.
The performance of the proposed algorithm will be evaluated and compared with the benchmark algorithms using spectral efficiency and fairness.
