Carcinogenicity prediction of aromatic compounds using self-organizing data mining

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	76-80
Number of pages	5
Journal	Upravlyayushchie Sistemy i Mashiny
Issue number	2
Publication status	Published - 2003

ASJC Scopus subject areas

@article{4a677a633daf4c16b45b4937fe11d48f,

title = "Carcinogenicity prediction of aromatic compounds using self-organizing data mining",

author = "F. Lemke and E. Benfenati",

year = "2003",

language = "English",

pages = "76--80",

journal = "Upravlyayushchie Sistemy i Mashiny",

issn = "0130-5395",

publisher = "Natsional'na Akademiya Nauk Ukrainy",

number = "2",

}

TY - JOUR

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AU - Lemke, F.

AU - Benfenati, E.

PY - 2003

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M3 - Article

AN - SCOPUS:0037493299

SP - 76

EP - 80

JO - Upravlyayushchie Sistemy i Mashiny

JF - Upravlyayushchie Sistemy i Mashiny

SN - 0130-5395

IS - 2

ER -