EvaluateCertainty: A function to evaluate performance of HieRFIT with various...
In yasinkaymaz/HieRFIT: This package provides a utility for information transfer between various data collections using hierarchical random forest
Description
A function to evaluate performance of HieRFIT with various Certainty thresholds.
Usage
1
2
EvaluateCertainty(RefSeuObj, IdentityCol, RefMod, Uinter = 20,
perm_n = 10, samp_n = 100)
Arguments
RefSeuObj
reference seurat object.
IdentityCol
the column 'number' in the metadata slot showing the cell type identities.
Uinter
number of intervals to assess certainty threshold.
perm_n
# of permutations.
samp_n
# samples to draw at each permutation.
yasinkaymaz/HieRFIT documentation built on June 1, 2021, 9:37 a.m.
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Description
A function to evaluate performance of HieRFIT with various Certainty thresholds.
Usage
1 2 | EvaluateCertainty(RefSeuObj, IdentityCol, RefMod, Uinter = 20,
perm_n = 10, samp_n = 100)
|
Arguments
RefSeuObj |
reference seurat object. |
IdentityCol |
the column 'number' in the metadata slot showing the cell type identities. |
Uinter |
number of intervals to assess certainty threshold. |
perm_n |
# of permutations. |
samp_n |
# samples to draw at each permutation. |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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