APA
Wilczyńska-Piliszek A. J., Piliszek S. & Falandysz J. (20120511). Use of quantitative-structure property relationship (QSPR) and artificial neural network (ANN) based approaches for estimating the octanol-water partition coefficients of the 209 chlorinated trans-azobenzene congeners. : Journal of environmental science and health. Part. B, Pesticides, food contaminants, and agricultural wastes.
Chicago
Wilczyńska-Piliszek Agata J, Piliszek Sławomir and Falandysz Jerzy. 20120511. Use of quantitative-structure property relationship (QSPR) and artificial neural network (ANN) based approaches for estimating the octanol-water partition coefficients of the 209 chlorinated trans-azobenzene congeners. : Journal of environmental science and health. Part. B, Pesticides, food contaminants, and agricultural wastes.
Harvard
Wilczyńska-Piliszek A. J., Piliszek S. and Falandysz J. (20120511). Use of quantitative-structure property relationship (QSPR) and artificial neural network (ANN) based approaches for estimating the octanol-water partition coefficients of the 209 chlorinated trans-azobenzene congeners. : Journal of environmental science and health. Part. B, Pesticides, food contaminants, and agricultural wastes.
MLA
Wilczyńska-Piliszek Agata J, Piliszek Sławomir and Falandysz Jerzy. Use of quantitative-structure property relationship (QSPR) and artificial neural network (ANN) based approaches for estimating the octanol-water partition coefficients of the 209 chlorinated trans-azobenzene congeners. : Journal of environmental science and health. Part. B, Pesticides, food contaminants, and agricultural wastes. 20120511.