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We have thus paired our named entity recognition system with a straightforward lexical approach for normalization.
Thus, we used a more appropriate approach for normalization.
In addition, an approach for normalization of gene family data using incomplete genome data was developed and applied in M. perniciosa genome survey.
In addition, we provide an approach for normalization of gene family data in a genome survey that can aid the genomics community interested in functional analysis in incomplete genome data.
Similar(55)
Cotelo et al. [6] proposed a modular approach for lexical normalization applied to Spanish tweets.
In line with a previous study by Meyer et al. [11], we found that the ligand template method provides a reliable approach for spatial normalization of PET ligand images.
DESeq and its variant (DESeq2) use a similar RLE approach for data normalization by creating a virtual library that every sample is compared against [ 5].
The Robust Multichip Average (RMA) approach was used for normalization of microarray data using the R/Bioconductor package as previously described [ 49].
The "Invariant Set" approach is used for normalization at the probe level, and the "Model based" method is used to summarize and obtain expression for each probe set [ 52].
We conduct microarray normalization using a lowess normalization approach for cDNA data and a robust normalization approach for Affymetrix data [ 24].
Approaches for pose normalization [7, 9, 10] use either 2D or 3D warping and often rely on the output from the detector to guide the selection of warp parameters.
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