krsa_qc_steps: QC pre-processing of raw data (deals with negative values,...
In CogDisResLab/KRSA: KRSA: Kinome Random Sampling Analyzer
View source: R/krsa_qc_steps.R
krsa_qc_steps R Documentation
QC pre-processing of raw data (deals with negative values, and adjust signal saturation values)
Description
This function takes in the raw data and QC pre-processes it (deals with negative values, and adjust signal saturation values)
Usage
krsa_qc_steps(df, sat_qc = T)
Arguments
df
krsa raw data
sat_qc
to filter out data point with high SignalSaturation
Value
df
See Also
Other QC functions:
krsa_filter_lowPeps(),
krsa_filter_nonLinear(),
krsa_filter_ref_pep()
Examples
TRUE
CogDisResLab/KRSA documentation built on Dec. 19, 2024, 8:28 p.m.
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View source: R/krsa_qc_steps.R
| krsa_qc_steps | R Documentation |
QC pre-processing of raw data (deals with negative values, and adjust signal saturation values)
Description
This function takes in the raw data and QC pre-processes it (deals with negative values, and adjust signal saturation values)
Usage
krsa_qc_steps(df, sat_qc = T)
Arguments
df |
krsa raw data |
sat_qc |
to filter out data point with high SignalSaturation |
Value
df
See Also
Other QC functions:
krsa_filter_lowPeps(),
krsa_filter_nonLinear(),
krsa_filter_ref_pep()
Examples
TRUE
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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