est_background_profile_sgt: Estimate a gene expression profile on a given subset of...
In zh542370159/dropSplit: Automatically identify cell-containing and empty droplets for droplet-based scRNAseq data using dropSplit
est_background_profile_sgt R Documentation
Estimate a gene expression profile on a given subset of barcodes.
Description
Use Good-Turing to smooth the estimated profile.
Usage
est_background_profile_sgt(matrix, use_bcs)
Arguments
matrix
Sparse matrix of all counts.
use_bcs
Indices of barcodes to use.
Value
A list including:
-
use_feats use_features
-
bg_profile_p Estimated probabilities of length use_features.
zh542370159/dropSplit documentation built on June 19, 2022, 2:49 p.m.
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| est_background_profile_sgt | R Documentation |
Estimate a gene expression profile on a given subset of barcodes.
Description
Use Good-Turing to smooth the estimated profile.
Usage
est_background_profile_sgt(matrix, use_bcs)
Arguments
matrix |
Sparse matrix of all counts. |
use_bcs |
Indices of barcodes to use. |
Value
A list including:
-
use_featsuse_features -
bg_profile_pEstimated probabilities of length use_features.
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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