In this paper we have introduced a novel algorithm, MOSAIC, which is capable of integrating an arbitrary number of methodologically diverse ortholog detection methods.
The implementation of this novel approach for the integration of diverse ortholog detection methods is presented as the software tool, MOSAIC, or Multiple Orthologous Sequence Analysis and Integration by Cluster optimization.
The redundant and diverse leak detection method calls for development of special instrumentation for sodium systems which include sodium ionization (leak) detector for detecting minute sodium leak in addition to those systems based on mutual inductance principle.
Under this perspective, we indicate the need for combinatorial signal detection, relying on the concurrent exploitation of diverse data sources and detection methods, and refer to early successful paradigms.
With OMMA, we propose a platform where detection methods with diverse origins can be adapted for working together in the detection of multi-step threats.
In the following section, we refer to two characteristic studies, which elaborated on combining information across diverse data sources and signal detection methods.
To compare the peak detection methods across diverse studies, four different datasets were considered, which measure the binding of three human transcription factors, STAT6, NRSF (two datasets) and FoxA1 (Table 2).
Endpoint detection methods are similarly diverse, e.g. luminescence, absorbance or fluorescence.
Molecular detection methods identified a more diverse microflora.
There are many possible variations in the subsequent DNA sequence detection methods used, which achieve diverse levels of performance and adequacy.
