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We have used mapping and ranking across the Gene Ontology (GO) categories to quantify similarity between the two sets.
We utilize GO mapping and ranking across correlation and expression level profiles selected by FDR thresholds to quantify similarity between comparison sets.
An index of groundwater dependency was developed by mapping and ranking three ecosystem types – springs, wetlands streams as follows: Seeps and springs were extracted from the National Hydrography Dataset Plus [16] database and assigned to each HUC12 unit.
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We mapped and ranked host abundance and susceptibility using geospatial vegetation data developed with gradient nearest neighbor imputation.
They manually created a category-term map, and rank each category with TF-IDF where TF denotes the term occurrence in a list of terms for a category and IDF denotes the frequency of occurrence of the term in all categories.
We mapped and ranked functional REs near TSS for all annotated transcripts in UCSC (Additional file 2).
Holtgrewe et al. (2011) benchmarked the most reputable mapping tools and ranked their performance.
Following weigh normalization and ranking, the thematic maps were integrated using ArcGIS 10.0 software to generate the overall groundwater potential map for the study area.
Notably, regulation of the epithelial-mesenchymal transition (EMT) pathway was mapped by IPA and ranked as the 4th most significant canonical pathway associated with altered methylation.
We utilize the mean average precision (mAP) and rank-1 accuracy to evaluate the performance.
Intact protein analysis was carried out to quantify the glycosylation degree and profile the glycoform composition of all the prepared neo glycoconjugates, while pronase and chymotriptic digests were analyzed to map and rank the reactivity of protein residues.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com