Supporting Information | The plots display the concordance indices for signalling entropy and a microarray based approximation of OncotypeDX in each data set alongside 95% confidence intervals . |
Supporting Information | The vertical line denotes concordance index = 0.5, data sets Where the confidence interval for the concordance index crosses this line did not reach significance. |
Supporting Information | score in each data set alongside 95% confidence intervals . |
Case 1: all cells recorded | 6, along with bootstrap confidence intervals derived from 14 resamplings of our original data. |
Case 1: all cells recorded | Naturally, the width of the confidence intervals in Fig. |
Correcting for the finite amounts of data | These resamplings were used to derive some of the correction terms for V, and also to derive confidence intervals on our final estimators, as shown in Fig. |
Interface Identification and Clustering | We defined WC 2 exp(aC), used noninformative normal priors (with zero mean and large standard deviation) for the parameters ac, and employed Gibbs sampling to obtain the posterior distributions of pC, for which we report the average as well as (2.5%,97.5%) confidence intervals . |
Interface Identification and Clustering | While best estimates of the probabilities pC are well approximated by the pooled fractions, the larger confidence intervals obtained by Bayesian inference reflect the variations in the different trajectories. |
Preferred Homo-dimer and Hetero-dimer Interfaces of ORs | However, it is noted that the calculated confidence intervals for frequencies of the specific interfaces are quite broad and overlapping, and therefore the estimated differences between the three OR subtypes may not be as relevant as they appear to be. |