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Developing and validating predictive decision tree models from mining chemical structural fingerprints and high–throughput screening data in PubChem
BACKGROUND: Recent advances in high-throughput screening (HTS) techniques and readily available compound libraries generated using combinatorial chemistry or derived from natural products enable the testing of millions of compounds in a matter of days. Due to the amount of information produced by HT...
| Autores principales: | , , |
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| Formato: | Texto |
| Lenguaje: | English |
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BioMed Central
2008
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2572623/ https://www.ncbi.nlm.nih.gov/pubmed/18817552 http://dx.doi.org/10.1186/1471-2105-9-401 |