Exact(1)
We used simulations already computed to investigate the demographic history of corncrake across Europe (Y. Fourcade, D. S. Richardson, O. Keišs, M. Budka, R. E. Green, S. Fokin, S. Secondi, unpublished data) using the framework implemented in the 'abc' R package (Csilléry et al. 2012).
Similar(59)
We experimentally study the performance of several specialized algorithms designed using the framework and implemented using MPI.
Using the framework, we implemented the k-Nearest Neighbor and Support Vector Machines classifiers as well as the alignment methods Dynamic Time Warping, Signal Alignment via Genetic Algorithm, Parametric Time Warping and Canonical Time Warping.
The branch specific variation of dN/dS in AMBN across the mammalian species tree was jointly reconstructed from the complete 56-taxa dataset with divergence times while controlling the effect of life-history traits [ 83] using the Bayesian framework implemented in the CoEvol program [ 84].
Because methods that incorporate phylogenetic structure into the parameter estimation procedure have been demonstrated to have less bias [1], [29], [30], we calculated θ using the coalescent framework implemented in Migrate version 1.7.5 [31], but our results should be applicable to other methods of θ estimation.
Regarding the MSBA, the multi-objective algorithms NSGA-II, SPEA2, and PAES were implemented by using the framework jMetal[30].
The most likely substitution model was first inferred using a likelihood framework implemented in the software MODELTEST 3.7 [ 43].
From these datasets we estimated θ using the maximum likelihood coalescent framework implemented in the computer program Migrate.
For the analysis of the functional couplings between LPFC and any other voxel in the brain, we used the psychophysiological interaction (PPI) framework implemented in SPM8 (Friston et al., 1997; Gitelman, Penny, Ashburner, & Friston, 2003) in its generalized form proposed recently (McLaren, Ries, Xu, & Johnson, 2012).
Preprocessed fMRI data were analyzed using the general linear model (GLM) framework implemented in the SPM2 software package from the Wellcome Trust Centre for Neuroimaging (http://www.fil.ion.ucl.ac.uk/spm).ac.uk/spm
To estimate dN/ dS for each alignment, we used a maximum likelihood framework implemented in the codeml module of PAML version 4 (Yang 2007).
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