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In order to take all real structure features of the nanofiber filter into account (such as varying fiber diameter, curvature along its length, inhomogeneity and mat defects), a new approach for 3D nanofiber mat model construction from corresponding SEM images has been proposed and utilized.
The soil C N ratio adjustment used in the environmental model uses an assumption that stands in the database used to develop the MAT model had an average soil C N ratio of 22.
However, this is not the only task that can be addressed using the G = MAT model.
Next, we present a number of methods for parameter estimation for the G = MAT model.
We applied the G = MAT model on the same dataset and observed similar results (Table 2).
The GeneClass algorithm works in the same setting as the G = MAT model.
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Binding data were processed with both MAT (Model-based Analysis of Tiling-arrays) [67] and TAS (Tiling Analysis Software, from Affymetrix).
MAT (Model-based Analysis of Tiling array, [27]) software was used to identify chromosomal sites that were enriched in the nuclear scaffold DNA hybridizations as compared to total genomic DNA with a p-value of P<0.001 (Fig. 1D).
Meanwhile, the more generally applicable analysis algorithm MAT (Model-based Analysis of Tiling-arrays) [13], originally designed for ChIP tiling arrays, would be sub-optimal for this study as it applies a 600 bp window which is far larger than the short transcripts targeted here (<60 nts).
For ChIP-on-chip data it uses preprocessed files, eg, by MAT (model-based analysis of tiling-arrays).
The offline model results from both the original MATSIRO and the integrated HiGW-MAT models have been extensively validated using ground- and satellite-based observations of various hydrologic fluxes and stores in our previous studies (Koirala et al. 2014; Pokhrel et al. 2012a, b, 2015).
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