| cells | R Documentation |
Irregularly (cells) and regularly sampled (cellr)
2D cell outlines extracted from cells simulated by
the Cellular Potts Model (CPM) proposed by Thueroff et al. 2019, a stochastic
biophysical model, for calibration to real-life cells (Schaffer 2021).
data(cells, package = "manifoldboost") data(cellr, package = "manifoldboost")
An object of class list of length 5.
An object of class list of length 5.
The datasets contain the following covariate vectors:
a substrate adhesion (CPM parameter, numeric)
r signaling radius (CPM parameter, numeric)
b bulk stiffness (CPM parameter, numeric)
m membrane stiffness (CPM parameter, numeric)
For the irregular dataset cells:
response A tibble with the cell outline data:
id cell ID (factor, ordered according to covariate vectors)
arg parameterization of the curves (numeric, between 0 and 1)
dim dimension indicator (two-leveled factor)
value x- and y-values of observed points of the outline (numeric)
For the regular dataset cellr:
response A tbl_cube with the cell outline data:
Dimensions id,arg,dim: cell ID (factor, ordered according to covariate vectors),
parameterization of the curves (integer, 1 to 70),
dimension indicator (two-leveled factor)
Measures value x- and y-values of observed points of the outline (numeric)
Thankfully provided by Sophia Schaffer.
Schaffer, S. A. (2021). Cytoskeletal dynamics in confined cell migration: experiment andmodelling. PhD thesis, LMU Munich. DOI: 10.5282/edoc.28480.
Thueroff, F., A. Goychuk, M. Reiter, and E. Frey (2019). Bridging the gap betweensingle-cell migration and collective dynamics. eLife 8, e46842.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.