CleanCODEX.gaussian.internal: Removes noise from CODEX data by fitting a Gaussian mixture...
In CamaraLab/STvEA: Spatially-resolved Transcriptomics via Epitope Anchoring
View source: R/data_processing.R
CleanCODEX.gaussian.internal R Documentation
Removes noise from CODEX data by fitting a Gaussian
mixture and computing each expression measurement
as the cumulative distribution of the Gaussian with
the higher mean.
Takes matrices and data frames instead of STvEA.data class
Description
Removes noise from CODEX data by fitting a Gaussian
mixture and computing each expression measurement
as the cumulative distribution of the Gaussian with
the higher mean.
Takes matrices and data frames instead of STvEA.data class
Usage
CleanCODEX.gaussian.internal(codex_filtered)
Arguments
codex_filtered
CODEX expression matrix after filtering (cell x proteins)
Value
Cleaned CODEX protein expression matrix (cell x protein)
CamaraLab/STvEA documentation built on April 2, 2024, 6:07 a.m.
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View source: R/data_processing.R
| CleanCODEX.gaussian.internal | R Documentation |
Removes noise from CODEX data by fitting a Gaussian mixture and computing each expression measurement as the cumulative distribution of the Gaussian with the higher mean. Takes matrices and data frames instead of STvEA.data class
Description
Removes noise from CODEX data by fitting a Gaussian mixture and computing each expression measurement as the cumulative distribution of the Gaussian with the higher mean. Takes matrices and data frames instead of STvEA.data class
Usage
CleanCODEX.gaussian.internal(codex_filtered)
Arguments
codex_filtered |
CODEX expression matrix after filtering (cell x proteins) |
Value
Cleaned CODEX protein expression matrix (cell x protein)
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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