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Bayesian Classification of Protein Structure
August 1992 (vol. 7 no. 4)
pp. 67-75
ASCII Text
x 
 
Lawrence Hunter, David J. States, "Bayesian Classification of Protein Structure," IEEE Intelligent Systems, vol. 7, no. 4, pp. 67-75, August, 1992.
 
 
BibTex
x
 
@article{ 10.1109/64.153466,
author = {Lawrence Hunter and David J. States},
title = {Bayesian Classification of Protein Structure},
journal ={IEEE Intelligent Systems},
volume = {7},
number = {4},
issn = {0885-9000},
year = {1992},
pages = {67-75},
doi = {http://doi.ieeecomputersociety.org/10.1109/64.153466},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - MGZN
JO - IEEE Intelligent Systems
TI - Bayesian Classification of Protein Structure
IS - 4
SN - 0885-9000
SP67
EP75
EPD - 67-75
A1 - Lawrence Hunter,
A1 - David J. States,
PY - 1992
VL - 7
JA - IEEE Intelligent Systems
ER -
 

The application of an Autoclass III machine-learning algorithm for heuristic Bayesian classification to independently confirm and provide new information about structural classes of proteins is discussed. Bayesian classification and Autoclass III systems are reviewed. The decisions concerning and data representations and where to begin searching the space of potential classifications are discussed. Results of the application, in terms of classification patterns, relationship to traditional classes, higher-order structure, and class composition, are presented.

Citation:
Lawrence Hunter, David J. States, "Bayesian Classification of Protein Structure," IEEE Intelligent Systems, vol. 7, no. 4, pp. 67-75, Aug. 1992, doi:10.1109/64.153466
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