getTheta: Get the membership matrix and centers
In lingxuez/SOUP: Semi-soft Clustering of Single Cell Data
Description
Usage
Arguments
Value
Description
Compute the membership matrix and cluster centers based on pure cells.
Usage
1
getTheta(expr, i.pure, pure.cluster, G)
Arguments
expr
a cell-by-gene expression matrix, either the raw counts or log-transformed expressions.
i.pure
the indices of the pure cells..
pure.cluster
a vector containing 1, ..., K, indicating the cluster labels of pure cells.
G
the cell-by-nPC matrix obtained from SVD of the similarity matrix.
Value
A list containing
- membership
the cell-by-K membership matrix.
- centers
the K-by-gene membership matrix.
lingxuez/SOUP documentation built on May 28, 2019, 3:38 p.m.
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Description Usage Arguments Value
Description
Compute the membership matrix and cluster centers based on pure cells.
Usage
1 | getTheta(expr, i.pure, pure.cluster, G)
|
Arguments
expr |
a cell-by-gene expression matrix, either the raw counts or log-transformed expressions. |
i.pure |
the indices of the pure cells.. |
pure.cluster |
a vector containing 1, ..., K, indicating the cluster labels of pure cells. |
G |
the cell-by-nPC matrix obtained from SVD of the similarity matrix. |
Value
A list containing
- membership
the cell-by-K membership matrix.
- centers
the K-by-gene membership matrix.
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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