Sentence examples for processing of literature from inspiring English sources
Since the natural language processing of literature text can be error-prone, the interactome we constructed has its own limits.
To do so, we created a workflow that allowed the pipeline processing of literature data and biological data, extracted from Web of Science (WoS) or PubMed but also from Gene Expression Omnibus (GEO), Gene Ontology (GO), Uniprot, HomoloGene, TcoF-DB and TFe (TF encyclopedia).
This issue would affect any method that relies on human curated databases or natural language processing of biomedical literature.
> -wrap-foot> Web-based Argo is a one-stop workbench with a convenient graphical user interface for creating text mining Web services for the processing of biological literature.
It should be noted that social media texts pose new challenges that are not present in the processing of medical literature.
The study also identified aspects of students' processing of primary literature that appeared to require more extensive experiences for gains to be evident for example, students' ability to pose alternative explanations and future research directions.
The IE pipeline can also be applied as a Whatizit (http://www.ebi.ac.uk/webservices/whatizit/info.jsf) Web service (whatizitProteinInteraction, WhatizitProteinInteractionPMID) for the processing of scientific literature for the identification of PPIs from the text.
In 1989 Wetherell did a leveraged buyout of SalesLink, which specializes in fulfillment and the processing of requests for literature such as prospectuses or annual reports from mutual fund companies.
The region-specific material and procedure optimization utilizes – in addition to the processing of a comprehensive literature survey – the answers coming from 81 experts of 52 European institutions to targeted questionnaire.
It is also interesting to envision broader integrations, such as a merger of FMCT predictions with natural language processing of the scientific literature to automatically generate annotations of genes and pathways with compound and targeting predictions; or the use of machine-learning techniques already available in KNIME nodes to craft more powerful cheminformatics analysis tools.
Exploiting these results to reconstruct the whole metabolism of an organism is a labor-intensive task, however, as it requires processing a high volume of literature.
