Linked Life Data

21347175

Source:http://linkedlifedata.com/resource/pubmed/id/21347175

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2011-2-24
pubmed:abstractText
Many methods and tools have evolved for microarray analysis such as single probe evaluation, promoter module modeling and pathway analysis. Little is known, however, about optimizing this flow of analysis for the flexible reasoning biomedical researchers need for hypothesizing about disease mechanisms. In developing and implementing a workflow, we found that workflows are not complete or valuable unless automation is well-integrated with human intelligence. We present our workflow for the translational problem of classifying new sub-types of renal diseases. Using our workflow as an example, we explain opportunities and limitations in achieving this necessary integration and propose approaches to guide such integration for the next great frontier-facilitating exploratory analysis of candidate genes.
pubmed:grant
pubmed:commentsCorrections
pubmed:language
eng
pubmed:journal
pubmed:status
PubMed-not-MEDLINE
pubmed:issn
2153-6430
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
2009
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
79-83
pubmed:dateRevised
2011-7-25
pubmed:year
2009
pubmed:articleTitle
Integrating automated workflows, human intelligence and collaboration.
pubmed:affiliation
School of Education, Univ of Michigan, Ann Arbor, MI.
pubmed:publicationType
Journal Article