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The first step is general localization.
In general, localization algorithms with linear arrays are evaluated in terms of azimuth error.
But, Distimo says in general, localization appears to be key to becoming popular especially when considering countries like China, South Korea, and Japan.
The first step is general localization based on the correspondence between the features extracted from both surfaces.
There are general localization techniques, originally developed for form estimates by Ismagilov [273], Morgan [447] and Sigal [554] (and discussed as the IMS localization formula in [101, Section 3.1]) which have operator versions.
Localization of proteins based on where the encounter with their respective partners takes place was found to differ in some cases from their general localization as reported in UniProt or other databases.
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In addition to general cytoplasmic localization, discrete co-localization of the proteins was observed at the plasma membrane, particularly in cells with lower expression levels of the two proteins (Fig. 5C).
In general, cellular localization and isolation of protein complexes are determined using fusion proteins with different tags; GFP-tagged protein for localization and affinity tagged-protein for structural and protein composition analysis.
Fig. 1 General fuzzy localization approach diagram.
However, the models and algorithms are applicable to general target localization based on emitted energy from the target.
In general, the localization problem can be solved by two steps [7 9]: firstly measure the metrics bearing location information, the so-called ranging or bearing, and secondly estimate the positions based on those metrics, the so-called location information fusion.
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