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Gene-Sets based methods were designed to address limitations of conventional single gene methods [6] by evaluating differential expression patterns of gene groups instead of individual genes.
Using intelligent approach, Artificial Neural Network (ANN) based method is designed.
A new Clean Development Mechanism (CDM) energy performance based method is designed for reducing transaction costs in implementing CDM projects in China's buildings before 2020.
Different graph-based methods are designed to assign orthology for two (pairwise) or more (multiple) species.
It has been argued [ 15, 16] that the light-based methods are designed for screening rather than as a diagnostic aid in a tertiary care setting.
Gradient-based methods are designed to allow a better estimation of intensity by reconstructing images that are denoised and deblurred with an edge-preserving filter and iterative deconvolution algorithm.
Given that surface-based methods are designed to remove individual variability in local cortical folding [ 31], the cortical thickness might elucidate the exact nature of potential structural alterations in schizophrenia.
To locate and rectify the edge parts, coefficient of variation (CV) based threshold and orientation based statistics methods are designed.
Linear matrix inequality based methods are devised for designing static state feedback gain-scheduled controllers with either an H∞ or quadratic regulator-type performance.
Some linear matrix inequalities based methods are also established to design the state feedback gains and observer gains.
Gradient based methods are mainly used for aerodynamic design optimization of aircraft and they minimize the convex differential functions.
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