Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
2008-12-8
pubmed:abstractText
With the development of new technologies for assaying biological activity on a global basis in experimental samples, various new "-omics" signatures have been developed to predict disease progression. Such signatures hold the potential to alter the nature of clinical management of human disease. In this article, we describe some necessary statistical considerations needed to take these signatures from the discovery phase to a clinically useful assay. Much of the work discussed is in the area of cancer.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Jan
pubmed:issn
1089-8646
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
93
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
13-6
pubmed:meshHeading
pubmed:year
2009
pubmed:articleTitle
"Omics" data and levels of evidence for biomarker discovery.
pubmed:affiliation
Department of Statistics, College of Medicine, Pennsylvania State University, University Park, PA 16802, USA. ghoshd@psu.edu
pubmed:publicationType
Journal Article, Review