Analysis of phenotypic variability. S. DufourYann GilletSébastien FrankelNicholas W. WeibelDouglas B. EmonetThierry 2016 <p>(A) Contour plot of the local linear regression of the tumble bias as a function of mCherry-CheR and CheB-mYFP numbers. The color scale is the same as <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1005041#pcbi.1005041.g003" target="_blank">Fig 3C</a>. (BC) Cross-sections of the local linear regression of the tumble bias showing the relative sensitivity of the mean tumble to changes in protein numbers. (D) Contour plot of the local linear regression of the residual tumble bias variance after subtracting the change in tumble bias explained by mCherry-CheR and CheB-mYFP numbers. (EF) Cross-sections of the local regression of the variance showing the relationship between residual phenotypic diversity and CheB-mYFP or mCherry-CheR numbers. The expected cell-to-cell variation in CheR and CheB numbers in the wild-type population is indicated by the white dotted contour (95% of the probability density function) [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1005041#pcbi.1005041.ref012" target="_blank">12</a>,<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1005041#pcbi.1005041.ref044" target="_blank">44</a>,<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1005041#pcbi.1005041.ref052" target="_blank">52</a>]. The local linear regressions were done using a bandwidth of 20% of the data points.</p>