nmf_fit: NMF fit for mixture matrix of Hi-C data
In brycerowland/thundeR: thundeR: R-package to run the Two-step Hi-c UNsupervised DEconvolution appRoach
Description
NMF fit for mixture matrix of Hi-C data
Usage
1
nmf_fit(mixture, n_cell_types = 2, itter = 200)
Arguments
mixture
Input mixture matrix for deconvolution where rows are Hi-C features and columns are samples.
n_cell_types
Integer. The number of columns in the basis matrix of the deconvolution. Corresponds to the number of cell types in bulk Hi-C mixture.
itter
Integer. Number of itterations for NMF algorithm. Default is 200.
brycerowland/thundeR documentation built on Dec. 14, 2021, 4:59 p.m.
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Description
NMF fit for mixture matrix of Hi-C data
Usage
1 | nmf_fit(mixture, n_cell_types = 2, itter = 200)
|
Arguments
mixture |
Input mixture matrix for deconvolution where rows are Hi-C features and columns are samples. |
n_cell_types |
Integer. The number of columns in the basis matrix of the deconvolution. Corresponds to the number of cell types in bulk Hi-C mixture. |
itter |
Integer. Number of itterations for NMF algorithm. Default is 200. |
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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