Genomic analysis of early murine mammary gland development using novel probe-level algorithms.
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ABSTRACT: We describe a novel algorithm (ChipStat) for detecting gene-expression changes utilizing probe-level comparisons of replicate Affymetrix oligonucleotide microarray data. A combined detection approach is shown to yield greater sensitivity than a number of widely used methodologies including SAM, dChip and logit-T. Using this approach, we identify alterations in functional pathways during murine neonatal-pubertal mammary development that include the coordinate upregulation of major urinary proteins and the downregulation of loci exhibiting reciprocal imprinting.
SUBMITTER: Master SR
PROVIDER: S-EPMC551540 | biostudies-literature | 2005
REPOSITORIES: biostudies-literature
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