Use of Automatic Relevance Determination in QSAR Studies Using Bayesian Neural Networks-Reference-Cited by-同舟云学术

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Use of Automatic Relevance Determination in QSAR Studies Using Bayesian Neural Networks

Published:2000-10-28 Issue:6 Volume:40 Page:1423-1430
ISSN:0095-2338
Container-title:Journal of Chemical Information and Computer Sciences
language:en
Short-container-title:J. Chem. Inf. Comput. Sci.

Author:

Burden Frank R.¹,Ford Martyn G.²,Whitley David C.²,Winkler David A.³

Affiliation:

1. School of Chemistry, Monash University, Victoria 3800, Australia

2. Centre for Molecular Design, Institute of Biomedical and Biomolecular Sciences, Portsmouth University, Portsmouth PO1 2DY, U.K.

3. CSIRO Division of Molecular Science, Private Bag 10, Clayton South MDC, Clayton, Victoria 3169, Australia

Publisher

American Chemical Society (ACS)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/ci000450a

Reference41 articles.

1. Deoxyribonucleoside-3′,5′ Cyclic Phosphates. Synthesis and Acid-Catalyzed and Enzymic Hydrolysis

2. Using Artificial Neural Networks to Predict Biological Activity from Simple Molecular Structural Considerations

3. Robust QSAR Models Using Bayesian Regularized Neural Networks

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