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Here, we present a web-based application to fulfill this need by implementing two models, YR and W/S schemes, for the translational and rotational positioning of nucleosomes, respectively.
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By implementing four models and integrating them into our model evaluation pipeline (described in detail in Methods section), we could compare quantitatively each model's ability to account for each phenotype.
For two-phase flow, we implement two models (homogeneous and drift-flux) in our results.
Yang and Nielsen [ 33] implemented two models, A and B, which let the ω ratio vary both among sites and lineages.
Specifically, Yang and Nielsen implemented two models, called A and B [ 47], which permits variation of the ω ratio (i.e., Ka/Ks) both among sites and among lineages.
In what follows, we implement three models with varying characteristics to demonstrate the functionality of MatVPC.
By implementing two different mouse models we demonstrate that the S100A4 function blocking antibody suppresses spontaneous tumor progression and pre-metastatic niche formation which correlates with suppression of T-cell accumulation both at the site of primary tumor and in pre-metastatic lungs.
We implemented two migration models, an island model (all demes equidistant) and a stepping stone model (populations arranged on a ring).
We then demonstrate the use of the programming model in implementing two applications, namely, mapping traffic management algorithms onto a multithreaded architecture and an implementation of a media gateway based on voice-over-AAL2.
We implemented two prediction models using a library for support vector machines (LIBSVM) [ 15].
We implemented two null models to further test the significance of the enrichments we found.
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