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To further assess the robustness of the single cell data, the levels of housekeeping genes were examined.
For hair cell data, the cell body was used for measurements.
For the bronchial epithelial cell data, the highest expressed probe set was kept when there were multiple probe sets for the same gene.
This case study demonstrates that for high frequency single cell data the SDE approach can be extremely powerful as it allows estimation of absolute transcription rates in terms of molecule numbers and since s P can be estimated it is possible to calculate back to molecular levels of protein and translation rate.
In agreement with the murine iNKT cell data, the weakest ligand at 100 ng mL 1 was again ThrCer-urea 12; however in this assay, ThrCer-thioamide 11 and ThrCer-carbamate 13 were now more comparable to ThrCer in their behavior.
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The distribution of residual errors from the cell data and the model data are reported in Figure 1 figure supplement 1A.
This scaling enabled comparisons between the control cell data and the ShB-IR cell data before/after copper treatment.
The notion to emerge from these single cell data is the fact that not all of the same control molecules are expressed in the same RPCs.
For the computational time, in one realization, 0.093 s is cost for one range cell data by the CED algorithm, while the HRR algorithm consumes 0.063 s.
The time-lapse cell data confirmed the inverse-correlation between autophagy and apoptosis.
In order to use dendritic cell data for the Fisher's Exact Test, we converted the Affymetrix absolute expression values into ratios (see Methods).
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