Estimate the midpoint and shape parameters for the logistic function used when simulating dropout.
splatEstDropout(norm.counts, params)
| norm.counts | library size normalised counts matrix. |
|---|---|
| params | SplatParams object to store estimated values in. |
SplatParams object with estimated values.
Logistic function parameters are estimated by fitting a logistic function
to the relationship between log2 mean gene expression and the proportion of
zeros in each gene. See nls for details of fitting.
Note this is done on the experiment level, more granular (eg. group or cell)
level dropout is not estimated.