compute_evenness_profile_matrix: Compute matrix of evenness profiles per group based on...
In keshav-motwani/scanalysis: Multi-Sample Visualization and Immune Repertoire Analysis Utilities for Single-Cell Data
Description
Usage
Arguments
Examples
View source: R/compute_evenness_profile.R
Description
Compute matrix of evenness profiles per group based on clonotype frequency distributions
Usage
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compute_evenness_profile_matrix(
sce_list,
group_by = c(),
min_alpha = 0,
max_alpha = 10,
alpha_steps = 51
)
Arguments
sce_list
list of SingleCellExperiment objects
group_by
column names from colData to use to construct groups for clonotype counting
min_alpha
minimum Renyi entropy alpha
max_alpha
maximum Renyi entropy alpha
alpha_steps
number of steps in between min_alpha and max_alpha
Examples
1
keshav-motwani/scanalysis documentation built on Feb. 4, 2021, 2:21 a.m.
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Description Usage Arguments Examples
View source: R/compute_evenness_profile.R
Description
Compute matrix of evenness profiles per group based on clonotype frequency distributions
Usage
1 2 3 4 5 6 7 | compute_evenness_profile_matrix(
sce_list,
group_by = c(),
min_alpha = 0,
max_alpha = 10,
alpha_steps = 51
)
|
Arguments
sce_list |
list of SingleCellExperiment objects |
group_by |
column names from colData to use to construct groups for clonotype counting |
min_alpha |
minimum Renyi entropy alpha |
max_alpha |
maximum Renyi entropy alpha |
alpha_steps |
number of steps in between min_alpha and max_alpha |
Examples
1 |
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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