pi_estimation: A function to get robust cell-type composition estimation...
In JiayiJi/MiXcan:
Description
Usage
Arguments
Value
View source: R/pi_estimation.R
Description
A function to get robust cell-type composition estimation based on the prior estimates and transcriptomic data.
Usage
1
pi_estimation(expression_matrix, n_iteration, prior)
Arguments
expression_matrix:
G by N gene expression matrix for estimating cell type composition of the tissue.
Each row is a gene and each column is tissue sample. Gene name and sample ID can be included as row and column names,
but not in the expression matrix.
n_iteration:
Number of bootstrap samples to estimate the Pi.
prior:
Prior estimation of cell-type composition.
Value
Updated cell-type composition estimates.
JiayiJi/MiXcan documentation built on Dec. 18, 2021, 1:30 a.m.
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Description Usage Arguments Value
View source: R/pi_estimation.R
Description
A function to get robust cell-type composition estimation based on the prior estimates and transcriptomic data.
Usage
1 | pi_estimation(expression_matrix, n_iteration, prior)
|
Arguments
expression_matrix: |
G by N gene expression matrix for estimating cell type composition of the tissue. Each row is a gene and each column is tissue sample. Gene name and sample ID can be included as row and column names, but not in the expression matrix. |
n_iteration: |
Number of bootstrap samples to estimate the Pi. |
prior: |
Prior estimation of cell-type composition. |
Value
Updated cell-type composition estimates.
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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