Missing value estimation methods for DNA microarrays

  title={Missing value estimation methods for DNA microarrays},
  author={Olga G. Troyanskaya and Michael N. Cantor and Gavin Sherlock and Patrick O. Brown and Trevor J. Hastie and Robert Tibshirani and David Botstein and Russ B. Altman},
  volume={17 6},
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. Methods for imputing missing data are needed, therefore, to minimize the effect of incomplete data… CONTINUE READING
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