S2 Figure: Bias (left) and root mean squared errors (RMSE) (right) of
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S2 Figure: Bias (left) and root mean squared errors (RMSE) (right) of
S2 Figure: Bias (left) and root mean squared errors (RMSE) (right) of the differential expression estimates of 200 microRNAs, as a function of the number of ...
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UCNR MNV+1 LOD KNN
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E (δ^ − δ)2
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E (δ^ − δ)
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UCNR MNV+1 LOD KNN
199 0
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#Censored obs in dataset
S2 Figure: Bias (left) and root mean squared errors (RMSE) (right) of the di↵erential expression estimates of 200 microRNAs, as a function of the number of censored Cq values. At the bottom the grey circles indicate the removal of a complete miRNA (as a consequence of censoring). The numbers on top of some of the grey circles represent the number of remaining miRNA in the study. Estimators are obtained by UCNR (green solid line), multiple t-tests with MOD normalization and LOD imputation of the UV (red dashed line), multiple t-tests with MOD normalization and MNV+1 imputation (blue dotted line) and multiple t-tests with MOD normalization and KNN imputation (black dotted-dashed line). A bias closer to zero suggest more accurate estimates. A small RMSE indicate a high precision of the estimator. The sharp jumps in the curves happen when a complete miRNA gets censored, which heavily a↵ects the normalisation constants.
