Sentence examples for alignment methods have from inspiring English sources
While many existing 1D alignment methods have attempted to align each spectrum in a data set to a single consensus spectrum, the quality of these "star alignments" can suffer if there is wide chemical diversity between spectra, as any individual spectrum chosen as a star may not include the full complement of metabolites present in the other data sets.
The existing ontology alignment methods have been trying to automatically obtain semantic correspondences between ontologies.
In recent years, manifold alignment methods have aroused a great of interest in the machine learning community which construct a common latent space shared by multiple input data sets.
Alternatively, many fiducial-less alignment methods have been developed (Liu et al. 1995; Brandt et al. 2001; Renken and McEwen 2003; Castaño-Díez et al. 2007) but usually require that the specimen itself exhibits high-contrast features.
The combinations of these column similarity metrics and alignment methods have been thoroughly evaluated recently by Mahony and Benos [8], and implemented in the software package STAMP [7].
Current global network alignment methods have two major issues.
The development of 1D alignment methods has allowed these spectra to be analyzed with increasing accuracy and resolution.
The most popular progressive alignment method has been the Clustal family, especially the weighted variant ClustalW to which access is provided by a large number of web portals including GenomeNet, EBI, and EMBNet.
The sequence alignment method has the high predicted accuracies, while the feature selection method can predict all the peptides.
A quick comparison of the scatterplots for these three datasets shows that the choice of alignment method has little affect on the resulting accuracy and reproducibility for any of the methods.
To enhance computational efficiency an approximate alignment method has been proposed to generate alignment candidates based on a fast translation-invariant rotational search [ 14, 15].
