Figure 4
From: Quantitative analysis of peroxisome tracks using a Hidden Markov Model
Fitting of HMM parameters. Values of \({\mu }_{\iota }\) (a) and \({\sigma }_{\iota }\) (b) after fitting the parameters to 52 manually selected norm tracks with mixed migration modes. (c) The ratio of steps in states \(s_{1}\) and \(s_{2}\) expressed by the values of \(\pi_{i}\) from the HMM after applying it to all tracks. (d) The values of the transition matrix after fitting it to all tracks. (e, f) The ratio of tracks showing consecutive directed steps as a function of the minimum number of consecutive steps required. In (f) we have a zoomed-in version of the curves in (e) to highlight the abolishment of tracks with more than six consecutive directed steps in the noc condition. Shaded regions indicate 95% confidence intervals obtained by bootstrapping. Stars represent the significance level after Bonferroni corrected p value: n.s.: q > 0.05, ***: q < 0.001. For panels (c) and (d), significance is only indicated in one of the states. The same significance pattern naturally holds for the other state since all \(\pi_{i}\) and the rows in \({\varvec{T}}\) add up to one.
