Team Shares PED Regression Method to ID More Relevant Genes in Small Sample-size Array Studies | GenomeWeb

NEW YORK (GenomeWeb) – A team from the College of William & Mary has described a novel computational method for gene expression microarray data analysis they believe could help identify more differentially expressed genes in studies with small sample sizes, or with too small a ratio of samples to gene targets.

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