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Reconstruction errors were found to be smaller for the equivalent sources model based algorithm and the statistically optimized NAH algorithm.
The genotype was determined by the Dynamic model based algorithm in the G-TYPE software.
A mixture hidden Markov model based algorithm was developed to address these two challenges.
To assemble all types of full length transcripts using the directional RNA-seq shoreadsads, we have developed a new Hidden Markov Model based algorithm, TruHMM (TRancription Unit assembly by a Hidden Markov Model), attempting to addresses the highly non-uniform read coverage and uncovered gap problems of current RNA-seq techniques.
In the rest of this paper, we use scheme 2 for the ER Model based algorithm.
Reconstructed particle velocity and acoustic pressure fields presented in this study showed that the equivalent sources model based algorithm along with Tikhonov regularization provided the best localization of the sources.
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We implemented a response-surface-model based algorithm for optimizing parameters of experimental systems that uses smooth surrogate models of the system behaviour obtained by Gaussian Random Process Regression [14], [15].
The subpopulations of 1857 accessions based on the admixture model-based algorithm were analyzed in depth using the even distribution of 5000 SNPs.
We calculated a model-based algorithm for promoter array score for each promoter and found a significant correlation between the promoter occupancy profiles of p53 and p73.
The PLR model-based algorithm can also be considered a generalized gamma correction algorithm.
A typical feature space formed by the model-based algorithm is shown in Figure 1.
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