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To rigorously integrate the current knowledge, we performed a meta-analysis of published studies focused on benthic organisms in the Mediterranean Sea, both in controlled manipulative experiments and in situ experiments near vent areas.
For each of the four most commonly known SR terms and each level of knowledge, we performed one-sided (alternative hypothesis: "greater") t-test ((alpha = 1,)), comparing the mean value of INT and CONV investors concerning their agreement to the statement "I feel uninformed about SR funds".
As a complementary strategy that is not dependent on existing knowledge we performed a Random Forests analysis to select SNPs from our genome-wide dataset with the greatest information content.
To our knowledge, we performed the first analyses of R-proteins for E. parvulum, Ae. arabicum, T. hasslerania and N. benthamiana.
To verify our results with respect to the available biological knowledge, we performed the GO-term enrichment analysis for the set of genes in each cluster.
To link our data to prior knowledge, we performed GOEA by using the Cytoscape (http://www.cytoscape.org/) plug-in BiNGO (v2.44) [ 30].
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To encode the domain knowledge features, we performed preliminary tests on the training and development data, using a set of dictionaries compiled from different sources including also PubChem [25] and Drugbank [26].
To address this knowledge gap, we performed quantitative gene expression analysis of both NT2 cells and purified NT2N to quantify the regulation of the expression of transcription factors which define the regional identities of neural progenitors and neural neurotransmitter phenotypes following retinoic acid differentiation.
Our data extend this knowledge as we performed several important assessments.
To fill this knowledge gap, we performed an RNA-seq on brain samples of 25 honeybees per hives from five hygienic and three non-hygienic hives.
To test the system's ability for knowledge discovery, we performed an additional benchmark in which the validity of the candidate gene predictions for the phenotype were assessed using text mining of the literature.
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CEO of Professional Science Editing for Scientists @ prosciediting.com