数据采集与处理2013，Vol.28Issue(2)：136-140,5.
时序基因表达缺失值的加权双向回归估计算法
Double Weighted Regression Estimation for Missing Values in Time Series Gene Expression Data
摘要
Abstract
Due to the limited experimental condition, there are missing values in gene expression data which make the following use difficult. Estimating missing values without data destroy and information lost has become an important work of bio-information. By weighted kernel function, it can find out rows and columns having largest similar coefficient with the rows and columns containing missing values. An estimation method based on double weighted regression is introduced by using weighted kernel function. It makes the information data more abundant by considering gene space correlation and time correlation in regression. Comparing with other methods, the weighted double regression method can obtain better estimation result.关键词
时序基因表达/空间相关性/时间相关性/加权双向回归/缺失值估计Key words
sequential gene expression/ space correlation/ time correlation/ double weighted regression/ missing value estimation分类
生物科学引用本文复制引用
李建更,郭庆雷,贺益恒..时序基因表达缺失值的加权双向回归估计算法[J].数据采集与处理,2013,28(2):136-140,5.基金项目
北京市教育委员会科技计划(JC002011200903)资助项目 （JC002011200903）
水体污染控制与治理重大专项——南水北调中线总干渠水质安全保障关键技术与工程示范(2009ZX07212-003)资助项目. （2009ZX07212-003）
