Missing-value estimation using linear and non-linear regression with Bayesian gene selection
نویسندگان
چکیده
منابع مشابه
Missing-value estimation using linear and non-linear regression with Bayesian gene selection
MOTIVATION Data from microarray experiments are usually in the form of large matrices of expression levels of genes under different experimental conditions. Owing to various reasons, there are frequently missing values. Estimating these missing values is important because they affect downstream analysis, such as clustering, classification and network design. Several methods of missing-value est...
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ژورنال
عنوان ژورنال: Bioinformatics
سال: 2003
ISSN: 1367-4803,1460-2059
DOI: 10.1093/bioinformatics/btg323