genkme: Internal functions for genotype-based normalization metrics
In schalkwyk/wateRmelon: Illumina DNA methylation array normalization and metrics
genkme R Documentation
Internal functions for genotype-based normalization metrics
Description
genkme - genotype calling with 1d k-means
genkus - apply genkme to available SNPs
getsnp - grep the rs-numbered probes
gcose - calculate between-sample SNP standard error
gcoms - calculate between-sample SNP mean-squared deviation
Usage
genkme(y, peaks = c(0.2, 0.5, 0.8))
Arguments
y
a vector or matrix of numeric values (betas, between 0 and 1)
peaks
initial values for cluster positions
Details
see genki
Value
see genki
Author(s)
Leonard.Schalkwyk@kcl.ac.uk
References
Pidsley R, Wong CCY, Volta M, Lunnon K, Mill J, Schalkwyk LC:
A data-driven approach to preprocessing Illumina 450K methylation
array data (submitted)
schalkwyk/wateRmelon documentation built on Aug. 13, 2024, 9:52 a.m.
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| genkme | R Documentation |
Internal functions for genotype-based normalization metrics
Description
genkme - genotype calling with 1d k-means
genkus - apply genkme to available SNPs
getsnp - grep the rs-numbered probes
gcose - calculate between-sample SNP standard error
gcoms - calculate between-sample SNP mean-squared deviation
Usage
genkme(y, peaks = c(0.2, 0.5, 0.8))
Arguments
y |
a vector or matrix of numeric values (betas, between 0 and 1) |
peaks |
initial values for cluster positions |
Details
see genki
Value
see genki
Author(s)
Leonard.Schalkwyk@kcl.ac.uk
References
Pidsley R, Wong CCY, Volta M, Lunnon K, Mill J, Schalkwyk LC: A data-driven approach to preprocessing Illumina 450K methylation array data (submitted)
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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