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...

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Detalles Bibliográficos
Autores principales: Han, Lianyi, Wang, Yanli, Bryant, Stephen H
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Research Article
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

Internet

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

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