Stochastic versus Stepwise Strategies for Quantitative Structure− Activity Relationship Generation How Much Effort May the Mining for Successful QSAR Models Take …
D Horvath, F Bonachera, V Solov'Ev… - Journal of chemical …, 2007 - ACS Publications
Descriptor selection in QSAR typically relies on a set of upfront working hypotheses in order
to boil down the initial descriptor set to a tractable size. Stepwise regression …
to boil down the initial descriptor set to a tractable size. Stepwise regression …
Stochastic versus stepwise strategies for quantitative structure-activity relationship generation--how much effort may the mining for successful QSAR models take?
D Horvath, F Bonachera, V Solov'ev… - Journal of …, 2007 - pubmed.ncbi.nlm.nih.gov
Descriptor selection in QSAR typically relies on a set of upfront working hypotheses in order
to boil down the initial descriptor set to a tractable size. Stepwise regression …
to boil down the initial descriptor set to a tractable size. Stepwise regression …
Stochastic versus stepwise strategies for quantitative structure-activity relationship generation--how much effort may the mining for successful QSAR models take?
D Horvath, F Bonachera, V Solov'ev… - Journal of Chemical …, 2007 - hero.epa.gov
Descriptor selection in QSAR typically relies on a set of upfront working hypotheses in order
to boil down the initial descriptor set to a tractable size. Stepwise regression …
to boil down the initial descriptor set to a tractable size. Stepwise regression …
[引用][C] Stochastic versus Stepwise Strategies for Quantitative Structure− Activity Relationship GenerationHow Much Effort May the Mining for Successful QSAR Models …
D Horvath, F Bonachera, V Solov'ev, C Gaudin… - Journal of Chemical …, 2007 - cir.nii.ac.jp
Stochastic versus Stepwise Strategies for Quantitative Structure−Activity Relationship
GenerationHow Much Effort May the Mining for Successful QSAR Models Take? | CiNii …
GenerationHow Much Effort May the Mining for Successful QSAR Models Take? | CiNii …
Stochastic versus stepwise strategies for quantitative structure-activity relationship generation--how much effort may the mining for successful QSAR models take?
D Horvath, F Bonachera, V Solov'ev… - Journal of Chemical …, 2007 - europepmc.org
Descriptor selection in QSAR typically relies on a set of upfront working hypotheses in order
to boil down the initial descriptor set to a tractable size. Stepwise regression …
to boil down the initial descriptor set to a tractable size. Stepwise regression …
[引用][C] Stochastic versus Stepwise Strategies for Quantitative Structure− Activity Relationship GenerationHow Much Effort May the Mining for Successful QSAR Models …
D Horvath, F Bonachera, V Solov'ev, C Gaudin… - Journal of Chemical …, 2007 - infona.pl
Stochastic versus Stepwise Strategies for Quantitative Structure−Activity Relationship
GenerationHow Much Effort May the Mining for Successful QSAR Models Take? † × Close …
GenerationHow Much Effort May the Mining for Successful QSAR Models Take? † × Close …
[引用][C] Stochastic versus stepwise strategies for quantitative structure-activity relationship generation-how much effort may the mining for successful QSAR models take …
D Horvath, F Bonachera, V Solov'ev, C Gaudin… - Journal of Chemical …, 2007 - elibrary.ru
Stochastic versus Stepwise Strategies for Quantitative Structure-Activity Relationship Generation-How Much Effort May the Mining for Successful QSAR Models Take?
D Horvath, F Bonachera, V Solov'Ev… - Journal of Chemical …, 2007 - hal.science
Descriptor selection in QSAR typically relies on a set of upfront working hypotheses in order
to boil down the initial descriptor set to a tractable size. Stepwise regression …
to boil down the initial descriptor set to a tractable size. Stepwise regression …
Stochastic versus Stepwise Strategies for Quantitative Structure− Activity Relationship GenerationHow Much Effort May the Mining for Successful QSAR Models Take?
D Horvath, F Bonachera, V Solovyev… - Journal of Chemical …, 2007 - hal.science
Descriptor selection in QSAR typically relies on a set of upfront working hypotheses in order
to boil down the initial descriptor set to a tractable size. Stepwise regression …
to boil down the initial descriptor set to a tractable size. Stepwise regression …