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params_postprocessing.yaml
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188 lines (178 loc) · 4.71 KB
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###############################################################################
# filtering
###############################################################################
filters:
cell_generation_index: [1]
# mother cell: 1
fovpeak:
# dictionary format fov: [peak1, peak2, ..., peakN]
# leave value empty for selection of whole FOV
# otherwise list of peaks as value
# leave blank to select all fovs and all peaks
lineages:
keep_continuous_only: False
args:
min_gen: 3
cutoffs:
# keys of this dictionary must map scalar or array of scalars attributes in the Cell class
sb:
plo: 2
phi: 2
#method: logmean
#method: mean
method: median
tau:
plo: 1.5
phi: 4
#method: median-min
method: median
#method: mean
###############################################################################
# computations
###############################################################################
computations:
min_per_frame: 2.
um_per_pixel: .11
###############################################################################
# plots
###############################################################################
plots:
distributions:
attributes:
sb:
label: "$S_b$ $[\\mu m]$"
sd:
label: "$S_d$ $[\\mu m]$"
delta:
label: "$\\Delta_d$ $[\\mu m]$"
growth_rate:
label: "$\\lambda$ $[h^{-1}]$"
scale: 60.
tau:
label: "$\\tau$ $[min]$"
taucyc_min:
label: "$\\tau_{cyc}$ $[min]$"
C_min:
label: "$C$ $[min]$"
D_min:
label: "$D$ $[min]$"
unit_size:
label: "$S_{0}$ $[\\mu m]$"
cross correlations:
attributes:
sb:
label: "$S_b$ $[\\mu m]$"
sd:
label: "$S_d$ $[\\mu m]$"
delta:
label: "$\\Delta_d$ $[\\mu m]$"
growth_rate:
label: "$\\lambda$ $[h^{-1}]$"
scale: 60.
tau:
label: "$\\tau$ $[min]$"
taucyc_min:
label: "$\\tau_{cyc}$ $[min]$"
C_min:
label: "$C$ $[min]$"
D_min:
label: "$D$ $[min]$"
unit_size:
label: "$S_{0}$ $[\\mu m]$"
args:
method: pearsonr
#method: spearmanr
autocorrelations:
attributes:
sb:
label_d: "$S_b^{n+1}$ $[\\mu m]$"
label_m: "$S_b^{n}$ $[\\mu m]$"
sd:
label_d: "$S_d^{n+1}$ $[\\mu m]$"
label_m: "$S_d^{n}$ $[\\mu m]$"
delta:
label_d: "$\\Delta_d^{n+1}$ $[\\mu m]$"
label_m: "$\\Delta_d^{n}$ $[\\mu m]$"
growth_rate:
label_d: "$\\lambda^{n+1}$ $[h^{-1}]$"
label_m: "$\\lambda^{n}$ $[h^{-1}]$"
scale: 60.
tau:
label_d: "$\\tau^{n+1}$ $[min]$"
label_m: "$\\tau^{n}$ $[min]$"
taucyc_min:
label_d: "$\\tau_{cyc}^{n+1}$ $[min]$"
label_m: "$\\tau_{cyc}^{n}$ $[min]$"
C_min:
label_d: "$C^{n+1}$ $[min]$"
label_m: "$C^{n}$ $[min]$"
D_min:
label_d: "$D^{n+1}$ $[min]$"
label_m: "$D^{n}$ $[min]$"
unit_size:
label_d: "$S_{0}^{n+1}$ $[\\mu m]$"
label_m: "$S_{0}^{n}$ $[\\mu m]$"
args:
method: pearsonr
#method: spearmanr
plot_lineages_byfov:
# comment fovs to plot all lineages
# put fovs key with None value to disable plotting
fovs:
args:
color: black
ax_height: 3
ax_width_per_hour: 2
plot_lineages_with_growth_rate:
# comment fovs to plot all lineages
# put fovs key with None value to disable plotting
# fovs:
# 6: [1692]
args:
color: black
stitch: True
logscale: True
pfit: 3
showfits: False
plot_lineages_variables:
attributes:
growth_rate:
label: "$\\lambda$ $[h^{-1}]$"
scale: 60.
delta:
label: "$\\Delta_d$ $[\\mu m]$"
sb:
label: "$S_b$ $[\\mu m]$"
# fovs:
# 6: [1692]
args:
color: black
color1: darkblue
stitch: False
logscale: True
plot_lineages_correlations:
attributes:
growth_rate:
label: "$\\lambda$ $[h^{-1}]$"
label_d: "$\\lambda^{n+1}$ $[h^{-1}]$"
label_m: "$\\lambda^{n}$ $[h^{-1}]$"
scale: 60.
delta:
label: "$\\Delta_d$ $[\\mu m]$"
label_d: "$\\Delta_d^{n+1}$ $[\\mu m]$"
label_m: "$\\Delta_d^{n}$ $[\\mu m]$"
sb:
label: "$S_b$ $[\\mu m]$"
label_d: "$S_b^{n+1}$ $[\\mu m]$"
label_m: "$S_b^{n}$ $[\\mu m]$"
sd:
label: "$S_d$ $[\\mu m]$"
label_d: "$S_d^{n+1}$ $[\\mu m]$"
label_m: "$S_d^{n}$ $[\\mu m]$"
# fovs:
# 6: [1692]
args:
color: black
color1: darkblue
stitch: False
logscale: True