Missing value estimation methods for DNA microarrays
نویسندگان
چکیده
منابع مشابه
Missing value estimation methods for DNA microarrays
MOTIVATION Gene expression microarray experiments can generate data sets with multiple missing expression values. Unfortunately, many algorithms for gene expression analysis require a complete matrix of gene array values as input. For example, methods such as hierarchical clustering and K-means clustering are not robust to missing data, and may lose effectiveness even with a few missing values....
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ژورنال
عنوان ژورنال: Bioinformatics
سال: 2001
ISSN: 1367-4803,1460-2059
DOI: 10.1093/bioinformatics/17.6.520