Published in

Bentham Science Publishers, Combinatorial Chemistry & High Throughput Screening, 5(17), p. 407-416

DOI: 10.2174/1386207317666140219115635

Links

Tools

Export citation

Search in Google Scholar

ANN and Bayesian Classification Models for Virtual Screening of Endocrine-Disrupting Chemicals

Journal article published in 2014 by Piotr Nowicki, Jolanta Klos, Zenon Kokot ORCID
This paper was not found in any repository, but could be made available legally by the author.
This paper was not found in any repository, but could be made available legally by the author.

Full text: Unavailable

Green circle
Preprint: archiving allowed
Orange circle
Postprint: archiving restricted
Red circle
Published version: archiving forbidden
Data provided by SHERPA/RoMEO