Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
5
pubmed:dateCreated
1991-2-1
pubmed:abstractText
CASE, an artificial intelligence structure-activity relational system, was used to predict the carcinogenicity of a group of chemicals currently being tested in rodent bioassays by the US National Toxicology Program. The 'learning set' for the CASE predictions consisted of the results of previous 252 rodent carcinogenicity bioassays.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Sep
pubmed:issn
0267-8357
pubmed:author
pubmed:issnType
Print
pubmed:volume
5
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
425-32
pubmed:dateRevised
2007-11-14
pubmed:meshHeading
pubmed:year
1990
pubmed:articleTitle
Prediction of the carcinogenicity in rodents of chemicals currently being tested by the US National Toxicology Program: structure-activity correlations.
pubmed:affiliation
Department of Environmental Health Sciences, Case Western Reserve University, Cleveland, OH 44106.
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S.