Linked Life Data

20519801

Source:http://linkedlifedata.com/resource/pubmed/id/20519801

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
2011-1-20
pubmed:abstractText
to hasten and improve anticancer drug development, we created a novel approach to generating and analyzing preclinical dose-scheduling data so as to optimize benefit-to-toxicity ratios.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Jan
pubmed:issn
1558-1551
pubmed:author
pubmed:issnType
Electronic
pubmed:day
1
pubmed:volume
31
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
7-18
pubmed:meshHeading
pubmed:year
2010
pubmed:articleTitle
Optimizing chemotherapy dose and schedule by Norton-Simon mathematical modeling.
pubmed:affiliation
Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, NY 10065, USA. trainat@mskcc.org
pubmed:publicationType
Journal Article