Prediction of Acute Aquatic Toxicity toward Daphnia Magna by using the GA-kNN Method
In this study, a QSAR model was developed from a data set consisting of 546 organic
molecules, to predict acute aquatic toxicity toward Daphnia magna. A modified k-Nearest …
molecules, to predict acute aquatic toxicity toward Daphnia magna. A modified k-Nearest …
Prediction of Acute Aquatic Toxicity toward Daphnia Magna by using the GA-kNN Method
M Cassotti, D Ballabio, V Consonni, A Mauri… - … to Laboratory Animals, 2014 - cir.nii.ac.jp
抄録< jats: p> In this study, a QSAR model was developed from a data set consisting of 546
organic molecules, to predict acute aquatic toxicity toward Daphnia magna. A modified k …
organic molecules, to predict acute aquatic toxicity toward Daphnia magna. A modified k …
[PDF][PDF] Prediction of Acute Aquatic Toxicity Toward Daphnia magna by using the GA-kNN Method
M Cassotti, D Ballabio, V Consonni, A Mauri, IV Tetko… - academia.edu
In this study, a QSAR model was developed from a data set consisting of 546 organic
molecules, to predict acute aquatic toxicity toward Daphnia magna. A modified k-Nearest …
molecules, to predict acute aquatic toxicity toward Daphnia magna. A modified k-Nearest …
Prediction of acute aquatic toxicity toward Daphnia magna by using the GA-kNN method
M Cassotti, D Ballabio, V Consonni, A Mauri… - ATLA …, 2014 - boa.unimib.it
In this study, a QSAR model was developed from a data set consisting of 546 organic
molecules, to predict acute aquatic toxicity toward Daphnia magna. A modified k-Nearest …
molecules, to predict acute aquatic toxicity toward Daphnia magna. A modified k-Nearest …
[PDF][PDF] Prediction of Acute Aquatic Toxicity Toward Daphnia magna by using the GA-kNN Method
M Cassotti, D Ballabio, V Consonni, A Mauri, IV Tetko… - researchgate.net
In this study, a QSAR model was developed from a data set consisting of 546 organic
molecules, to predict acute aquatic toxicity toward Daphnia magna. A modified k-Nearest …
molecules, to predict acute aquatic toxicity toward Daphnia magna. A modified k-Nearest …
Prediction of acute aquatic toxicity toward Daphnia magna by using the GA-kNN method.
M Cassotti, D Ballabio, V Consonni, A Mauri, IV Tetko… - 2014 - cabidigitallibrary.org
In this study, a QSAR model was developed from a data set consisting of 546 organic
molecules, to predict acute aquatic toxicity toward Daphnia magna. A modified k-Nearest …
molecules, to predict acute aquatic toxicity toward Daphnia magna. A modified k-Nearest …
Prediction of acute aquatic toxicity toward Daphnia magna by using the GA-kNN method.
M Cassotti, D Ballabio, V Consonni, A Mauri… - … to Laboratory Animals …, 2014 - europepmc.org
In this study, a QSAR model was developed from a data set consisting of 546 organic
molecules, to predict acute aquatic toxicity toward Daphnia magna. A modified k-Nearest …
molecules, to predict acute aquatic toxicity toward Daphnia magna. A modified k-Nearest …
Prediction of acute aquatic toxicity toward Daphnia magna by using the GA-kNN method
M Cassotti, D Ballabio, V Consonni… - Alternatives to …, 2014 - pubmed.ncbi.nlm.nih.gov
In this study, a QSAR model was developed from a data set consisting of 546 organic
molecules, to predict acute aquatic toxicity toward Daphnia magna. A modified k-Nearest …
molecules, to predict acute aquatic toxicity toward Daphnia magna. A modified k-Nearest …
[PDF][PDF] Prediction of Acute Aquatic Toxicity Toward Daphnia magna by using the GA-kNN Method
M Cassotti, D Ballabio, V Consonni, A Mauri, IV Tetko… - researchgate.net
In this study, a QSAR model was developed from a data set consisting of 546 organic
molecules, to predict acute aquatic toxicity toward Daphnia magna. A modified k-Nearest …
molecules, to predict acute aquatic toxicity toward Daphnia magna. A modified k-Nearest …