MaSigPro is a R-package [ 78], especially generated to handle short time-series microarray gene expression data and to find genes, based on a regression based approach, which have significantly different expression profiles between treatments.
Examples of these methods are the Poisson-Boltzmann [18] [22] and Generalized-Born [23] [25] based approaches, which have been extensively utilized to determine the orientation and the degree of insertion of AMPs and other membrane proteins in lipid bilayers.
The solution of these equations is provided employing a Galerkin-based approach which has the potential to capture various boundary conditions.
We propose a CPU-based approach which has the advantage that uses free software such as Octave and MPI wrap for it.
This paper proposes a new geometrical modeling approach, referred to as the translated frame-based approach, which has two main advantages over the state-of-the art, namely the reference frames definition is intuitive and it eliminates the computation of the transformation operators.
In addition, a linear-transform-based approach, which has not been proposed, is interesting to compare with.
The target-based approach, which has dominated the field for many years, is currently giving way to a more systems-based focus, boosted by heavy investment and research in omics science.
The crack growth criterion proposed above is essentially a strain-based approach, which has been widely used for the prediction of viscoplastic failures such as creep (Riedel & Rice 1980; Yatomi et al. 2003; Zhao et al. 2006).
One important such MCMC-based approach, which has been used in systems biology, is the Bayes Factor (BF) [ 8, 57].
