Sentence examples for r resources from inspiring English sources

Finally, power control can be performed by the usage of the resources: wakeup, standby, and m a x i m u m_p o w e r resources.

Here we describe our release of 'Shiny-phyloseq', a Web browser GUI that leverages phyloseq and other R resources for the analysis of microbiome census data while also allowing the user to archive the complete code and data necessary to exactly reproduce their session results.

Therefore, the prototype implementation defines regression functions for a subset of parameters of R (resource) and A (application), which are considered in this approach.

There are a total of (R) resource elements, and each machine has some of these REs, representing the capabilities it shares with other machines, as well as those that are unique to it.

Zhu-Hong You revised the manuscript and programmed a part of R resource.

MATCH (r:RESOURCE -[qualifier:BELONGS_TO]-> WITH RESOURCE -[qualifierAS AnnotationCount ORDER BY AnnotationCount DESC LIMIT 3 RETURN r.URI as Annotation, AnnotationCount MATCH (r:RESOURCE)-[qualifier:BELONGS_TO]-> WITH r, count qualifier) AS AnnotationCount ORDER BY AnnotationCount DESC LIMIT 3 RETURN r.URI as Annotation, AnnotationCount Query 5: What are the top-MATCHthree annotations used?

MATCH (m:SBML_MODEL <-[:BELONGSBML_MODEL <-[ANNOTATION)<-[:BELONGS_TO*1..2]- a ANNOTATION <-[ Model, count(r) AS NumBELONGS_TO*1..2]- a ANNOTATION <-[fAnnotation), min(NumBELONGS_TO*1..2]- a ANNOTATION <-[tation), stdev(NumBELONGS_TO]- rn) Query 7: What is the minimum, maximum and average numBELONGS_TO]- rions peRESOURCE

MATCH (m:SBML_MODEL <-[:BELONGSBML_MODEL <-[ANNOTATION)<-[:BELONGS_TO*1..2]- a ANNOTATION <-[ Model, count(r) AS NumBELONGS_TO*1..2]- a ANNOTATION <-[fAnnotation), min(NumBELONGS_TO*1..2]- a ANNOTATION <-[tation), stdev(NumBELONGS_TO]- rn) Query 6: How many annotations point to the term SBELONGS_TO]- rnetic constant) oRESOURCE its children?

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One of the originally stated goals of phyloseq was to leverage R-based resources for reproducible research, and thereby, improve the reproducibility and portability of published microbiome analyses.

The distributed environment is modelled as a set of resources, R = {r 1, r 2, …, r m } where m is the number of resources in the system.