findQ: findQ
In chris-mcginnis-ucsf/MULTI-seq: deMULTIplex is a software suite for MULTI-seq sample barcode FASTQ pre-processing and cell barcode classification.
View source: R/MULTIseq.Classification.Suite.R
findQ R Documentation
findQ
Description
Identifies the optimal inter-maxima quantile difference with which to set sample barcode-specific thresholds. Maximizes the pSinglet curve for quantiles 0.1-0.99.
Usage
findQ(res, extrema)
Arguments
res
Dataframe of pSinglet, pDoublet, and pNegative values across quantile sweep, as genereated by 'findThresh'.
extrema
Vector of local pSinglet maxima values across quantile sweep, as generated by 'findThresh'.
Value
Quantile threshold applied to all barcode distributions during sample classificaiton.
Author(s)
Chris McGinnis
Examples
round1.calls <- classifyCells(barTable, q=findQ(res_round1, extrema_round1))
chris-mcginnis-ucsf/MULTI-seq documentation built on Nov. 22, 2023, 8:24 p.m.
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View source: R/MULTIseq.Classification.Suite.R
| findQ | R Documentation |
findQ
Description
Identifies the optimal inter-maxima quantile difference with which to set sample barcode-specific thresholds. Maximizes the pSinglet curve for quantiles 0.1-0.99.
Usage
findQ(res, extrema) Arguments
res |
Dataframe of pSinglet, pDoublet, and pNegative values across quantile sweep, as genereated by 'findThresh'. |
extrema |
Vector of local pSinglet maxima values across quantile sweep, as generated by 'findThresh'. |
Value
Quantile threshold applied to all barcode distributions during sample classificaiton.
Author(s)
Chris McGinnis
Examples
round1.calls <- classifyCells(barTable, q=findQ(res_round1, extrema_round1)) 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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