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BP網(wǎng)絡與復雜疾病相關的SNPs數(shù)據(jù)分析

Back-Propagation Neural Network and the Analysis of Complex Disease-Related SNPs

作者: 李軍政    伍亞舟 
單位:第三軍醫(yī)大學軍事預防醫(yī)學院(重慶400038)
關鍵詞: SNPs;BP神經(jīng)網(wǎng)絡;參數(shù)遞減方法 
分類號:
出版年·卷·期(頁碼):2011·30·5(543-545)
摘要:

反向傳播(BP)神經(jīng)網(wǎng)絡在基因數(shù)據(jù)分析中具有重要意義。本文首先介紹了單核甘酸多態(tài)性(single
nucleotide polymorphisms,SNPs)的研究背景、分析熱點及遇到的主要問題;在此基礎上綜述了當前常
用的SNPs分析方法及其不足;隨后介紹了BP神經(jīng)網(wǎng)絡在SNPs分析中的應用,如易感基因的篩選、腫瘤的
診斷性分類等,并針對主要問題提出了解決方法,即用BP網(wǎng)絡結合參數(shù)遞減方法(parameter
decreasing method,PDM)和聚類分析進行復雜疾病相關的SNPs數(shù)據(jù)分析。

Back-propagation neural network plays an important role and is proved
significant in the analysis of genetic data. In this paper, we firstly introduced the
background, hot spots and main problems on single nucleotide polymorphisms (SNPs) analysis.
On this basis, we reviewed the common methods in SNPs analysis and their shortcomings. Then
we introduced the BP network and its applications in the analysis of SNPs, such as
susceptibility genes screening, diagnostic classification of tumors, and solutions for the
main problems. Finally we put forward a strategy, which can analyze the complex diseases
related to SNPs by the BP network combining parameter decreasing method (PDM) and cluster
analysis.

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