(Q45962697)

18 December 2017

title

Using support vector regression coupled with the genetic algorithm for predicting acute toxicity to the fathead minnow. (English)

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18 December 2017

main subject

support vector machine

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2

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18 December 2017

author name string

Y Wang

1

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18 December 2017

J Xiao

3

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18 December 2017

Y Lu

4

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18 December 2017

F Wang

5

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18 December 2017

J Lu

6

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18 December 2017

X Luo

7

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18 December 2017

W Zhu

8

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18 December 2017

H Jianga

9

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18 December 2017

K Chen

10

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18 December 2017

language of work or name

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1 July 2010

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18 December 2017

SAR and QSAR in Environmental Research

published in

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18 December 2017

volume

21

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18 December 2017

issue

5-6

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18 December 2017

page(s)

559-570

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18 December 2017

Animal testing and alternative approaches for the human health risk assessment under the proposed new European chemicals regulation

cites work

1 reference

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21 January 2018

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Statistically validated QSARs, based on theoretical descriptors, for modeling aquatic toxicity of organic chemicals in Pimephales promelas (fathead minnow).

21 January 2018

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21 January 2018

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The fathead minnow in aquatic toxicology: past, present and future

21 January 2018

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Thermodynamic descriptors derived from density functional theory calculations in prediction of aquatic toxicity.

21 January 2018

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Quantitative structure-activity relationships based on functional and structural characteristics of organic compounds

21 January 2018

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Prediction of chemical toxicity with local support vector regression and activity-specific kernels

21 January 2018

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The proposal of architecture for chemical splitting to optimize QSAR models for aquatic toxicity

21 January 2018

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Validation of a QSAR model for acute toxicity.

21 January 2018

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Consensus QSAR models: do the benefits outweigh the complexity?

21 January 2018

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A novel logic-based approach for quantitative toxicology prediction.

21 January 2018

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An automated group contribution method in predicting aquatic toxicity: the diatomic fragment approach

21 January 2018

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Description of the electronic structure of organic chemicals using semiempirical and ab initio methods for development of toxicological QSARs

21 January 2018

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Modeling toxicity by using supervised kohonen neural networks

21 January 2018

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Using fragment chemistry data mining and probabilistic neural networks in screening chemicals for acute toxicity to the fathead minnow

21 January 2018

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Drug design by machine learning: support vector machines for pharmaceutical data analysis

21 January 2018

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In silico prediction of mitochondrial toxicity by using GA-CG-SVM approach.

21 January 2018

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On Outliers and Activity Cliffs - Why QSAR Often Disappoints

21 January 2018

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10.1080/1062936X.2010.502300

21 January 2018

Identifiers

DOI

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18 December 2017

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18 December 2017