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LOCate is applicable to linkage analysis for ordinal or nominal traits, a versatility which we demonstrate by analyzing simulated data with a nominal trait, on which LOCate outperforms LOT, an existing method which is designed for ordinal traits.
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The usefulness of both approaches was successfully demonstrated by analyzing an international standard for Fib plasma.
Finding an appropriate similarity cut-off value affects clustering performance and results, as demonstrated by analyzing three different datasets.
The linearity for Pb, Cd, and Cr was demonstrated by analyzing a number of different concentrations of the studied elements.
In particular, relevant differences in DNA stability at the single-molecule level are demonstrated by analyzing nanomechanically induced DNA denaturation.
The analytical usefulness of the immnunosensor was demonstrated by analyzing human sera spiked with prolactin at three different concentration levels.
In addition, the practical applicability of this strategy was also demonstrated by analyzing the target miRNA in human serum.
The applicability of the resulting numerical implementation is finally demonstrated by analyzing the thermodynamically coupled response for a loading cycle.
This is demonstrated by analyzing a model problem and conducting numerical simulations of the Navier Stokes equations.
The capabilities of the approach are demonstrated by analyzing the temporal behavior of an MPEG-4 video encoder with a CSDF graph.
The accuracy of the proposed method was demonstrated by analyzing three certified reference materials and by determining the analyte content in spiked sea-water samples.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com