Application of Agent-Based Back Propagation Neural Network System in Gene Function Association Discovery
Date Issued
2004
Date
2004
Author(s)
Tung, Kuo-Feng
DOI
zh-TW
Abstract
Software agent has becoming popular in recent years due to its autonomous, mobile, and distributed computation abilities. Agent can negotiate to each other in common platform or in internet. They have been successfully used in distributed applications, information retrieval and intelligent expert systems. Human genomic sequence has just been fully determined as well as other species’ sequences. Many novel genes predicted require functional annotation in order to examine their linkages with diseases. It is essential to determine the functions in these new genes. This thesis presents the design and implementation of a novel data mining system whose primary purpose is to support the discovery of functions associated with unknown gene sequences. The system is based on the mobile agent technology, which uses the Back-Propagation Neural Network for the data mining basis. This system can assist biologists to interrogate the putative functions of unknown sequence more effectively. I have constructed a gene function mining system EasyGO based on this platform.
Subjects
資料開採
倒傳遞網路
基因序列
軟體代理人
BPN
data mining
software agent
gene sequence
SDGs
Type
thesis
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