Pattern detection of movement behaviors in genotype variation of Drosophila melanogaster by using self-organizing map

被引：11

作者：

Choi, Kyung-Hee

Kim, Jung-Su

Kim, Young Shin

Yoo, Mi-Ae

Chon, Tae-Soo ^{[1
]}

机构：

[1] Pusan Natl Univ, Dept Biol, Div Biol Sci, Pusan 609735, South Korea

[2] Pusan Natl Univ, Dept Mol Biol, Div Biol Sci, Pusan 609735, South Korea

来源：

ECOLOGICAL INFORMATICS | 2006年 / 1卷 / 03期

关键词：

movement behavior; genotype; pattern detection; Drosophila; self-organizing map; artificial neural network;

D O I：

10.1016/j.ecoinf.2005.12.002

中图分类号：

Q14 [生态学（生物生态学）];

学科分类号：

071012 ; 0713 ;

摘要：

The two dimensional movement tracks of STAT92E(06346) mutant and two control strains (Oregon red (OR) and TM3) of Drosophila melonogaster were continuously observed with image processors. Subsequently Self-Organizing Map (SOM) was implemented to patterning of responding behaviors of the tested specimens. Movement behaviors were accordingly revealed in different strains and sex. SOM showed difference in degree of grouping in behaviors in different genotypes. Visualization through SOM further characterized the clusters of specimens with the variables regarding activities and spatial information. The study demonstrated that techniques in data mining in artificial neural networks could be a useful tool for analyzing complex behaviors induced by changes in genetic information. (c) 2006 Published by Elsevier B.V.

引用

页码：219 / 228

页数：10

共 61 条

[1] Functional roles of STAT family proteins: Lessons from knockout mice [J].