segmented_signal: Mean Segmentation
In SegCorr: Detecting Correlated Genomic Regions
Description
Usage
Arguments
Value
Author(s)
References
See Also
Examples
Description
Mean segmentation on the genomic signal is performed using the Fpsn function of the jointseg package.
Usage
1
segmented_signal(SNP.Chr, Kmax)
Arguments
SNP.Chr
SNP/CGH profile matrix for a given chromosome (NA's not allowed). Columns correspond to patients and rows to probes.
Kmax
Maximum number of segments.
Value
Smoothed genomic signal matrix. Rows correspond to probes and columns to patients.
Author(s)
E. I. Delatola, E. Lebarbier, T. Mary-Huard, F. Radvanyi, S. Robin, J. Wong.
References
Morgane Pierre-Jean, Guillem Rigaill and Pierre Neuvial. Performance evaluation of DNA copy number segmentation methods. Briefings in Bioinformatics (2015) 16 (4): 600-615.
See Also
Examples
1
2
#data(SNP)
#mu.SNP = segmented_signal(SNP ,100)
SegCorr documentation built on May 2, 2019, 6:01 a.m.
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Description Usage Arguments Value Author(s) References See Also Examples
Description
Mean segmentation on the genomic signal is performed using the Fpsn function of the jointseg package.
Usage
1 | segmented_signal(SNP.Chr, Kmax)
|
Arguments
SNP.Chr |
SNP/CGH profile matrix for a given chromosome (NA's not allowed). Columns correspond to patients and rows to probes. |
Kmax |
Maximum number of segments. |
Value
Smoothed genomic signal matrix. Rows correspond to probes and columns to patients.
Author(s)
E. I. Delatola, E. Lebarbier, T. Mary-Huard, F. Radvanyi, S. Robin, J. Wong.
References
Morgane Pierre-Jean, Guillem Rigaill and Pierre Neuvial. Performance evaluation of DNA copy number segmentation methods. Briefings in Bioinformatics (2015) 16 (4): 600-615.
See Also
Examples
1 2 | #data(SNP)
#mu.SNP = segmented_signal(SNP ,100)
|
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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