| Prefix | Table |
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| SubtitleText | Regression of the observed transcript abundance on the expected transcript abundance, transcript length, GC content, and the expected fold change, subjecting all the variables to log2 transformation. We started with the full model containing four covariates and performed model selection based on two criteria: adjusted r^2 (computed for all possible models) and stepwise regression (with a cutoff p-value of 0.15). The assessment was performed on the Mix B of ERCC, using Partek’s modified expectation-maximization (EM) algorithm for transcript quantification. |
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| AnchorName | table4 |
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