Imputing Missing Data for Gene Expression Arrays

摘要: The singular value decomposition offers an interesting and stable method for imputation of missing values in gene expression arrays. basic paradigm is • Learn a set basis functions or eigen-genes from the complete data. Impute cells by regressing its non-missing entries on eigen-genes, use regression function to predict at locations. ∗Depts. Statistics, Health, Research & Policy, Sequoia Hall, Stanford Univ., CA 94305. hastie@stat.stanford.edu †Depts. Univ, tibs@stat.stanford.edu ‡Life Sciences Division, Lawrence Orlando Berkeley National Labs Dept. Molecular. Cell Biology, University California. Berk.; eisen@genome.stanford.edu; §Department Biochemistry, University;pbrown@cmgm.stanford.edu ¶Department Genetics, University;botstein@genome.stanford.edu