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How to rank and discriminate artificial neural networks? Case study: prediction of anticancer activity of 17-picolyl and 17-picolinylidene androstane derivatives
| Title: | How to rank and discriminate artificial neural networks? Case study: prediction of anticancer activity of 17-picolyl and 17-picolinylidene androstane derivatives | Authors: | Kovačević, Strahinja   ; Podunavac-Kuzmanović, Sanja ; Jevrić, Lidija ; Đurendić, Evgenija; Ajduković, Jovana ; Gadžurić, Slobodan ; Vraneš, Milan |
Issue Date: | 2016 | Publication: | Journal of the Iranian Chemical Society | ISSN: | 1735-207X Journal of the Iranian Chemical Society Search Idenfier |
Publisher: | Springer Link | Type: | Article | Collation: | vol. 13 br. 3 str. 499-507 | DOI: | 10.1007/s13738-015-0759-9 | WoS-ID: | 000368282800011 | Scopus-ID: | 2-s2.0-84955257096 | URI: | https://www.cris.uns.ac.rs/record.jsf?recordId=96671&source=eNauka&language=en https://open.uns.ac.rs/handle/123456789/31255 https://enauka.gov.rs/handle/123456789/225412 |
Metadata source: | Migracija | M-category: | 22M22 |
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