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Taxonomic discordance analysis (Naïve Bayes filtered and unfiltered) predicted proteins identified as transferred for each pathway, their EC annotation, class-level taxonomic classification of source (ORF) and recipient (contig).
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The implication of this observation is that previously TOC has been relied upon as a parameter for classification of sources rocks.
The classification of sources (including stars used in this work) is, in most cases, consistent with the information in the SIMBAD and NED databases.
It should be noted that photometric errors do not affect the classification of sources used for the purpose of this work: they are all identified by a direct cross-match with public databases, as explained in the latter part of this section.
By a broad classification of sources, there are primary OA (POA) emitted directly in particulate form, e.g., from fossil fuel and biomass burning or mechanical processes, and secondary OA (SOA) produced from the oxidation of volatile organic compounds (VOCs) [ 7].
Quantitative comparisons of the results from ANN and SVM depicts that for classification problem of source rock zonation SVM with RBF (Radial Basis Function) kernel readily outperforms ANN in term of classification accuracy (0.9077 and 0.9369 for ANN and SVM, respectively), reduced computational time and highly repeatable results.
Water samplers were also trained to fill out a water source description form to allow consistent classification of the source type and time of sample collection.
According to the classification of heat source FECR, the number of equations can be cut down.
Correct classification of the source of infection is important in observational and interventional studies of sepsis.
Data on the epidemiologic classification of the source case were missing for 1 secondary case-patient.
The classification of water sources into improved vs. unimproved revealed that 46.3% (n=255) of households collected drinking water from improved water sources.
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