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Example sentences for: numbers-

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The inverse also holds true, where highly expressed genes, having less error in their measured levels, may not meet an arbitrary fold-change cut-off of 2.0 even when they are truly differentially expressed [ 12 ] . Therefore, selecting differentially regulated genes based only on a single fold change across the entire range of experimental data preferentially selects lowly expressed genes [ 8 ] . This commonly used approach does not accommodate for background noise, variability, non-specific binding, or low copy numbers- characteristics typical of microarray data which may not be homogeneously distributed.