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Object |
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Evaluation Study|Journal Article|Research Support, Non-U.S. Gov't|Validation Study |
| issn |
1932-6203 |
| issueIdentifier |
3 |
| pageRange |
e33829- |
| publicationName |
PLoS ONE |
| startingPage |
e33829 |
| bibliographicCitation |
Leong MK, Chen H, Shih Y. Prediction of Promiscuous P-Glycoprotein Inhibition Using a Novel Machine Learning Scheme. PLoS ONE. 2012 Mar 16;7(3):e33829. doi: 10.1371/journal.pone.0033829. |
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http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_2718b54b216def5d71e112e5b32e5595 |
| date |
2012-03-16-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| identifier |
https://pubmed.ncbi.nlm.nih.gov/22439003
https://pubmed.ncbi.nlm.nih.gov/PMC3306300
https://doi.org/10.1371/journal.pone.0033829 |
| isPartOf |
http://rdf.ncbi.nlm.nih.gov/pubchem/journal/33103
https://portal.issn.org/resource/ISSN/1932-6203 |
| language |
English |
| source |
https://www.crossref.org/
https://pubmed.ncbi.nlm.nih.gov/ |
| title |
Prediction of Promiscuous P-Glycoprotein Inhibition Using a Novel Machine Learning Scheme |
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