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Many tools exist to predict structural variants (SVs), utilizing a variety of algorithms.
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However, many algorithms exist to predict atom mappings.
Many approaches exist to predict the impact of a mutation.
Sadly, however, no market exists to predict court decisions, whether efficiently or otherwise.
A number of risk scores exists to predict bleeding in people using warfarin and similar anticoagulants.
Although no high-resolution crystallographic structure exists for the protein encoded by this gene, thus limiting the potential for functional prediction, it was possible to use RaptorX to predict structural changes with other suitable templates.
FT-IR spectroscopy has the ability to predict structural differences not seen by other physicochemical analyses.
The SAMD method as another example, utilizes neural networks together with predicted structural properties to predict structural folds within the twilight zone [19].
The technique is useful to delineate protein domains, and to predict structural properties.
To evaluate synovitis (clinical vs ultrasound (US)) to predict structural progression in rheumatoid arthritis (RA).
Presently, no markers exist to accurately predict treatment outcome.
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