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The proteins identified were grouped into different classes based on functional information available.
Genes in all tables were categorized and annotated based on functional information obtained in online databases and/or previous studies.
These results demonstrate the utility of using an objective criteria based on functional information in the literature to fine tune statistical analysis of high-throughput experiments.
Based on functional information retrieved from the databases, these genes do not show any clear functional enrichment, and many of them have no annotation, making it difficult to compare our results with SI systems characterized on model plants.
Although the algorithms based on functional information (Gene Ontology terms/ protein domains) achieve better results than standard conservation-based approaches, a fair testing procedure is more difficult because the predictions can be biased toward more abundant functional classes.
For example, SNPs&GO (Calabrese et al., 2009) is an algorithm based on functional information that takes in input log-odd scores calculated using Gene Ontology (GO) annotation terms.
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Next, functional assignment was done for 29,624 rice FST genes based on functional classification information from the MapMan Toolkit.
The 5-HT receptors are classified into seven distinct families based on functional, structural and signalling information, with at least 14 different subtypes, including 5-HT1 (5-HT3A/1B/1D/1E/1F), 5-HT5 (5-HT2andB/2C), 5-HT7, 5-HT4, 5-HT5 (5-HT5A/5B), 5-HT6 and 5-HT7 receptors.
These questions of how to further stratify based on functional relevance or to incorporate biological information as a priori information for feature selection will be important to consider in our future work.
These data are summarized in Figure 3 based on functional groups of GO biological process (information in GO molecular function and cellular component for each gene is also presented in Additional file 1: Table S1), distinguishing genes showing increased or decreased expression using different colors.
Although, there were differences in the functional diversity estimates between the analyses based on functional group and trait data, the overall findings of our study were robust to the type of information used to describe function.
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based on functional self-application
based on functional similarity
based on functional connectivity
based on functional transformation
based on functional prototyping
based on personal information
based on incomplete information
based on functional unit
based on partial information
based on functional outcome
based on functional disability
based on functional aggregation
based on functional impairment
based on limited information
based on functional annotation
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