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This might preclude the utilization of this approach in reduced sample size experiments, but does not restrict the method to time series data.
This accumulation of duplication events was already observed earlier by Martens and colleagues who used an independent method to time the age of paralogs in Phytophthora spp. (Martens and Van de Peer 2010).
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We then extend the method to time-dependent problems by approximating the time derivative by means of backward difference formulae.
Moreover, we apply the developed method to time-dependent reaction convection diffusion problems and simulation results show the efficiency of the approach.
This will help with developing a practical tool for the scientific design of different machinability index materials, as well as an alternative method to time-consuming and expensive standardized machinability tests.
In this paper, we apply the Hermite projection method to time-frequency regions by expanding each row (i.e., the instantaneous spectrum) into a series of Hermite functions.
Next we applied our method to time-course expression profiles of the 228 Entrez Gene IDs stimulated with EGF and HRG, respectively, in order to investigate the difference between the EGF- and HRG-induced gene networks.
Connects these methods to time series analysis, including Fourier methods, spectra, coherence, and filtering.
Non-parametric data reduction methods, on the other hand, include data-driven multivariate component analysis such as the application of matrix factorization methods to time-frequency distributions.
Recently there has been a growing interest in applying RBF methods to time-dependent PDE problems, again to problems with sufficiently smooth solutions.
Nakajima and Hasegawa (2007a) applied a travel-time tomography method to arrival-time data from the nationwide seismograph network using grid nodes with a horizontal spacing of 0.2°.
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