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SSMD is the ratio of mean to the standard deviation of the difference between two groups. When the data is preprocessed using log-transformation as we normally do in HTS experiments, SSMD is the mean of log fold change divided by the standard deviation of log fold change with respect to a negative
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When there are only two groups involved in a comparison, SMCV is the same as the strictly standardized mean difference (SSMD). SSMD belongs to a popular type of effect-size measure called "standardized mean differences" [ 6 ] which includes Cohen's d {\displaystyle d} [ 7 ] and Glass's δ . {\displaystyle \delta .} [ 8 ]
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The commonly used dual-flashlight plot is for the difference between two groups in high-throughput experiments such as microarrays and high-throughput screening studies, in which we plot the SSMD versus average log fold-change on the y- and x-axes, respectively, for all genes or compounds (such as siRNAs or small molecules) investigated in an ...
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SSMD can overcome the drawback of average fold change not being able to capture data variability. On the other hand, because SSMD is the ratio of mean to standard deviation, we may get a large SSMD value when the standard deviation is very small, even if the mean is small. In some cases, a too small mean value may not have a biological impact.
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