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Table 1 shows the major categories of machine-learning applications on the analysis of microbiome data.
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The results obtained have direct application on the analysis of railway track vibrations induced by high-speed trains crossing regions with significantly different foundation stiffness.
Application to the analysis of published data on the sucrose water system is also demonstrated, and it is seen that the different methods yield similar solutions.
A growing number of visual computing applications depend on the analysis of large video collections.
Atmospheric sounding is a new area of GNSS applications based on the analysis of radio signals from GNSS satellites, which are refracted as they pass through the atmosphere and can give information on its physical properties.
For example, network monitoring applications rely on the analysis of communication traffic levels at the network nodes where network topology affects the nature of node relationships in complex ways.
We explored potential prognostic applications based on the analysis of L values that represent the samples obtained from the VD+ and VD− patients.
g-FLUA2H is a web-based application focused on the analysis of the dynamics of influenza virus animal-to-human (A2H) mutation transmissions.
All these applications depend highly on the analysis of the eye gaze position.
With the notable exception of ribosomal RNA, a large majority of these applications are based on the analysis of protein sequences, possibly back-translated into nucleic acid sequences in the context of phylogenetic analysis.
iSimp is designed to simplify complex sentences commonly found in the biomedical text, and has been shown to improve existing text mining applications that rely on the analysis of sentence structures.
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