lcb3_3: Data for exercise 3
In lgatto/QFeaturesScpWorkshop2021: Reproducing a single-cell proteomics data analysis using QFeatures and scp
Description
Usage
Format
See Also
Description
A QFeatures object that has been generated to run
exercise 3. It was generated from the v02-scp.Rmd vignette that
replicates the SCoPE2 data processing workflow for batch LCB3 up to
the QC and filtering of single-cells based on the CV. This dataset
can be used to demonstrate the use of subsetByColData.
lcb3_3 contains 49 assays:
Assay 1-24: PSM data for 24 MS runs
Assay 25-48: aggregated peptide data for 24 MS runs
Assay 49: joined peptide data containing the sample of all 24
MS runs
Usage
1
data("lcb3_3")
Format
An object of class QFeatures of length 49.
See Also
Other exercise datasets are available: lcb3_1,
lcb3_2, lcb3_4, lcb3_5.
lgatto/QFeaturesScpWorkshop2021 documentation built on Dec. 21, 2021, 10:44 a.m.
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Description Usage Format See Also
Description
A QFeatures object that has been generated to run
exercise 3. It was generated from the v02-scp.Rmd vignette that
replicates the SCoPE2 data processing workflow for batch LCB3 up to
the QC and filtering of single-cells based on the CV. This dataset
can be used to demonstrate the use of subsetByColData.
lcb3_3 contains 49 assays:
Assay 1-24: PSM data for 24 MS runs
Assay 25-48: aggregated peptide data for 24 MS runs
Assay 49: joined peptide data containing the sample of all 24 MS runs
Usage
1 | data("lcb3_3")
|
Format
An object of class QFeatures of length 49.
See Also
Other exercise datasets are available: lcb3_1, lcb3_2, lcb3_4, lcb3_5.
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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