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Study and develop methods to infer insights from data in different application areas.
Study and develop methods to infer insights from data in different application areas, from science to search to finance to others.
While personalized ads use data about people to determine which ads to show in an app or on a website, contextualized ads use data about the content in which they are embedded to infer insights about audience likes and interests.
Genomic and transcriptomic comparisons between closely related bacteria are powerful approaches to infer insights into their metabolic potentials and regulatory networks.
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Genomic and transcriptomic comparisons between closely related bacteria are powerful approaches to infer insight into the metabolic potentials and regulatory networks.
Experimentation is not the only method companies can use to infer valuable insights from big data.
To this purpose, for example, social network analysts may be able to infer additional insights about the structure of the original network from the visual analysis of its community structure.
In recent years, tools have been developed to infer biological insights of miRNAs through integrative analysis of miRNAs and their targets.
The motivation was that semantic technologies can simplify data integration across multiple sources and support the logic to infer additional insights from the data.
During the past few years, a number of bioinformatics tools have been developed to infer miRNA insights through integrative analysis of miRNAs and their targets [ 3- 7].
We aimed to characterise whole transcriptomes for each common T lymphocyte subset resident within the gut mucosa, and use these to infer biological insights and highlight candidate genes of interest within GWAS risk loci.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com