MethylIT: MethylIT: Methylation Analysis Based on Signal Detection and...
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MethylIT R Documentation
MethylIT: Methylation Analysis Based on Signal Detection and Machine
Learning
Description
Methyl-IT implements methylation analysis based on signal
detection theory and machine-learning. Methylation changes are expressed in
terms of information divergence (ID) of methylation level. Methylation
process is a stochastic process, particularly, a biochemical-biophysical
process which must not be reduced to statistic. Methyl-IT includes the
information on the statistical biophysics of the methylation process with
the estimation of the probability distribution of the methylation
background noise (plus signal), which is used as null distribution for the
application of basic signal detection theory.
genomaths/MethylIT documentation built on Feb. 3, 2024, 1:24 a.m.
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| MethylIT | R Documentation |
MethylIT: Methylation Analysis Based on Signal Detection and Machine Learning
Description
Methyl-IT implements methylation analysis based on signal detection theory and machine-learning. Methylation changes are expressed in terms of information divergence (ID) of methylation level. Methylation process is a stochastic process, particularly, a biochemical-biophysical process which must not be reduced to statistic. Methyl-IT includes the information on the statistical biophysics of the methylation process with the estimation of the probability distribution of the methylation background noise (plus signal), which is used as null distribution for the application of basic signal detection theory.
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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