genkme: Internal functions for genotype-based normalization metrics
In wateRmelon: Illumina 450 methylation array normalization and metrics
Description
Usage
Arguments
Details
Value
Author(s)
References
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
1
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)
wateRmelon documentation built on Nov. 8, 2020, 7:47 p.m.
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Description Usage Arguments Details Value Author(s) References
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
1 |
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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