categorize_binary_hash_matrix: Convert binary hash matrix results to categorical labels for...
In AllenInstitute/BarMixer: Hashed scRNA-seq demultiplexing for .h5 files
Description
Usage
Arguments
Value
View source: R/hash_matrix_analysis.R
Description
Convert binary hash matrix results to categorical labels for each cell barcode
Usage
1
Arguments
bmat
a matrix or sparse matrix with binarized hash scores, as generated by 'binarize_hash_matrix()'. Rows must be hash barcodes, and columns must be cell barcodes.
Value
A list containing two objects:
hash_category_table: a data.frame of categorical hash results: cell_barcode, hash_category, hash_sequence
hash_summary: a data.frame with summary statistics for hashes in this run: hash_category, n_category, frac_category
AllenInstitute/BarMixer documentation built on Dec. 17, 2021, 8:42 a.m.
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Description Usage Arguments Value
View source: R/hash_matrix_analysis.R
Description
Convert binary hash matrix results to categorical labels for each cell barcode
Usage
1 |
Arguments
bmat |
a matrix or sparse matrix with binarized hash scores, as generated by 'binarize_hash_matrix()'. Rows must be hash barcodes, and columns must be cell barcodes. |
Value
A list containing two objects:
hash_category_table: a data.frame of categorical hash results: cell_barcode, hash_category, hash_sequence
hash_summary: a data.frame with summary statistics for hashes in this run: hash_category, n_category, frac_category
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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