On the optimal design of metabolic RNA labeling experiments
Fig 4
Application to the SLAMseq experiment.
A: Diagonal term of the FIM as a function of chase time. Similar to Fig 2, we normalize it as
, so it corresponds to the lower boundary of the relative variance
. Using time points with low
values results in higher variance of
. In this example, as values of
and
, we use medians of their estimations from the model fitted to the full set of points. B: Relative width of 95% confidence intervals (CI) for the rate estimations
. We use the genes with
located between 40%-60% percentiles (i.e. near the median). Genes, which have ratio close to the optimum t/τ ≈ 2.9 (subfigure (A)), have smaller relative CI for
.