Artificial Neural Networks and Linear Discriminant Analysis: A Valuable Combination in the Selection of New Antibacterial Compounds-Reference-Cited by-同舟云学术

Artificial Neural Networks and Linear Discriminant Analysis: A Valuable Combination in the Selection of New Antibacterial Compounds

Published:2004-04-13 Issue:3 Volume:44 Page:1031-1041
ISSN:0095-2338
Container-title:Journal of Chemical Information and Computer Sciences
language:en
Short-container-title:J. Chem. Inf. Comput. Sci.

Author:

Murcia-Soler Miguel¹,Pérez-Giménez Facundo¹,García-March Francisco J.¹,Salabert-Salvador Ma Teresa¹,Díaz-Villanueva Wladimiro¹,Castro-Bleda María José¹,Villanueva-Pareja Angel¹

Affiliation:

1. Department of Physical Chemistry, Faculty of Pharmacy, and Department of Computer Science, Faculty of Physics, Universitat de València, Av. Vicent Andrés Estellés, s/n. 46100 Burjassot, Valencia, Spain, and Department of Information Systems and Computation, Universitat Politècnica de València, Camí de Vera, s/n. 46071 Valencia, Spain

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/ci030340e

Reference29 articles.

1. Application of graph theoretical parameters in quantifying molecular similarity and structure-activity relationships

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