A Computer‐Aided Strategy for Structure‐Function Relation Study of Food Proteins Using Unsupervised Data Mining-Reference-Cited by-同舟云学术

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A Computer‐Aided Strategy for Structure‐Function Relation Study of Food Proteins Using Unsupervised Data Mining

Published:2003-01-03 Issue:1 Volume:6 Page:25-47
ISSN:1094-2912
Container-title:International Journal of Food Properties
language:en
Short-container-title:International Journal of Food Properties

Author:

Nakai Shuryo¹,Ogawa Masahiro¹,Nakamura Soichiro²,Dou Jingli¹,Funane Kazumi³

Affiliation:

1. a Food, Nutrition, and Health , University of British Columbia , 6650 NW Marine Drive, Vancouver , B.C. V6T 1Z4 , Canada

2. b Department of Life and Environmental Sciences , Shimane University , Matsue , Japan

3. c National Food Research Institute , Tsukuba , Japan

Publisher

Informa UK Limited

Subject

Food Science

Link

https://www.tandfonline.com/doi/pdf/10.1081/JFP-120016622

Reference30 articles.

1. Bishop , C. M. 1995.Neural Networks for Pattern Recognition17385–387. Oxford, UK: Clarendon Press.

2. Software analyser design using data mining technology for toxicity prediction of aqueous effluents

3. "New Tricks for an Old Dog": Development and Application of Novel QSAR Methods for Rational Design of Combinatorial Chemical Libraries and Database Mining

4. A Quantitative Structure−Activity Relationships Model for the Acute Toxicity of Substituted Benzenes to Tetrahymena pyriformis Using Bayesian-Regularized Neural Networks

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