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Hierarchical Modeling for Rare Event Detection and Cell Subset Alignment across Flow Cytometry Samples

Figure 4

Trace plots of log likelihood for the final 2,000 MCMC iterations of the HDP model sampled every iterations showing mixing and convergence.

The MCMC was run for 22,000 iterations, and samples obtained from the final 2,000 iterations were used to calculate and plot the log likelihood at each iteration. The log likelihood appears to vary stochastically about an equilibrium distribution indicating convergence, and the chain traverses its distribution indicating mixing, but the steps tend to be small indicating some degree of autocorrelation. Text in yellow boxes indicates the frequencies of the spiked antigen-specific T cells in the sample being fitted.

Figure 4