Feature extraction of protein expression levels based on classification of functional foods with SOM

被引:1
作者
Fukushima, Tamon [1 ]
Yamamori, Kunihito [2 ]
Yoshihara, Ikuo [2 ]
Nagahama, Kiyoko [3 ]
机构
[1] Univ Miyazaki, Grad Sch Engn, Miyazaki, Japan
[2] Univ Miyazaki, Fac Engn, 1-1 Gakuen Kibanadai Nishi, Miyazaki 8892192, Japan
[3] Miyazaki Prefectural Ind Fdn, Sadowara, Japan
关键词
Physiological activity; Protein expression level; Food constituent; Functional foods; SOM;
D O I
10.1007/s10015-008-0597-2
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
We investigated the relations between the physiological activities and protein expression levels of functional foods using a self-organizing map (SOM). The input vectors to the SOM were the protein expression levels and the physiological activity. A competitive node has two kinds of weights: one is for protein expression levels, and the other is for physiological activity. A winner node is decided by the distance between the values of protein expression levels described in the input vector and the corresponding weights only. Then all weights, including those for physiological activity in each node, are updated. Therefore each node has an artificially generated value of physiological activity. Finally, the nodes can be categorized by the above-mentioned physiological activity. A well-trained SOM gives us information about the relations between physiological activities and protein expression levels.
引用
收藏
页码:543 / 546
页数:4
相关论文
共 5 条
  • [1] Artificial neural networks for prediction of antioxidant capacity of cruciferous sprouts
    Bucinski, A
    Zielinski, H
    Kozlowska, H
    [J]. TRENDS IN FOOD SCIENCE & TECHNOLOGY, 2004, 15 (3-4) : 161 - 169
  • [2] Fausett L V, 1994, FUNDAMENTALS NEURAL
  • [3] Kohonen T., 1996, SELF ORGANIZING MAPS
  • [4] Mazza G., 1998, FUNCTIONAL FOODS BIO
  • [5] An in silico approach for screening flavonoids as P-glycoprotein inhibitors based on a Bayesian-regularized neural network
    Wang, YH
    Li, Y
    Yang, SL
    Yang, L
    [J]. JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN, 2005, 19 (03) : 137 - 147