A simultaneous reconstruction of missing data in DNA microarrays

被引：13

作者：

Friedland, Shmuel

Niknejad, Amir

Chihara, Laura

机构：

[1] Inst Math & Applicat, Minneapolis, MN 55455 USA

[2] Univ Illinois, Dept Math Stat & Comp Sci, Chicago, IL 60607 USA

[3] Carleton Coll, Dept Math & Comp Sci, Northfield, MN 55057 USA

来源：

LINEAR ALGEBRA AND ITS APPLICATIONS | 2006年 / 416卷 / 01期

关键词：

gene expression matrix; singular value decomposition (svd); missing values; imputation;

D O I：

10.1016/j.laa.2005.05.009

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

We suggest here a new method of the estimation of missing entries in a gene expression matrix, which is done simultaneously-i.e., the estimation of one missing entry influences the estimation of other entries. Our method is closely related to the methods and techniques used for solving inverse eigenvalue problems. (c) 2005 Elsevier Inc. All rights reserved.

引用

页码：8 / 28

页数：21

共 12 条

[1] Processing and modeling genome-wide expression data using singular value decomposition [J].