Research of Bayesian Model Based on Missing Data of Biology

SHEN Qi; WANG Chi-she

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Research of Bayesian Model Based on Missing Data of Biology

更新时间：2026-09-04

- Research of Bayesian Model Based on Missing Data of Biology
- Vol. 28, Issue 7, Pages: 110-112(2011)
- 作者机构：
  
  金陵科技学院机构信息技术学院,江苏,南京,211169
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2011
- 稿件说明：
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沈奇, 王池社. 生物缺失数据处理的贝叶斯模型研究[J]. 微电子学与计算机, 2011, 28(7): 110-112.

SHEN Qi, WANG Chi-she. Research of Bayesian Model Based on Missing Data of Biology[J]. 2011, 28(7): 110-112.
沈奇, 王池社. 生物缺失数据处理的贝叶斯模型研究[J]. 微电子学与计算机, 2011, 28(7): 110-112. DOI：

SHEN Qi, WANG Chi-she. Research of Bayesian Model Based on Missing Data of Biology[J]. 2011, 28(7): 110-112. DOI：

摘要

文章针对生物信息实验中的分类预测问题

以属性缺失数据为对象

结合朴素贝叶斯算法的特点

设计了一种基于改进EM算法的缺失数据朴素贝叶斯填充模型

并应用于蛋白质作用位点的定位研究中.实验结果表明

通过算法进行生物缺失数据的处理

在准确率、精度、召回率、ROC方面均获得了比其他方法更好的效果.

Abstract

In order to solve the classification prediction problem in biological information experiments

this article designed a new Bayesian classification model based on attribute missing data which combined with the characteristics of Naïve Bayesian algorithm.This model was applied to the research of protein-protein interaction site localized.Experimental results show that the biological missing data processing through this model has obtained better results than other methods in the fields of accuracy

precision

recall and ROC.

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