Format

Send to

Choose Destination
Curr Opin Biotechnol. 2002 Feb;13(1):72-6.

Predictive non-linear modeling of complex data by artificial neural networks.

Author information

1
Department of Biometry and Epidemiology, Medical University South Carolina, 135 Rutledge Avenue, PO Box 250551, Charleston SC 29425, USA. almeidaj@musc.edu

Abstract

An artificial neural network (ANN) is an artificial intelligence tool that identifies arbitrary nonlinear multiparametric discriminant functions directly from experimental data. The use of ANNs has gained increasing popularity for applications where a mechanistic description of the dependency between dependent and independent variables is either unknown or very complex. This machine learning technique can be roughly described as a universal algebraic function that will distinguish signal from noise directly from experimental data. The application of ANNs to complex relationships makes them highly attractive for the study of biological systems. Recent applications include the analysis of expression profiles and genomic and proteomic sequences.

PMID:
11849962
DOI:
10.1016/s0958-1669(02)00288-4
[Indexed for MEDLINE]

Supplemental Content

Full text links

Icon for Elsevier Science
Loading ...
Support Center