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DESCRIPTION
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DESCRIPTION
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Package: MethylIT
Title: Methylation Analysis Based on Signal Detection
Version: 0.3.2.7
Encoding: UTF-8
Authors@R: c(person("Robersy", "Sanchez", email = "rus547@psu.edu",
role = c("aut", "cre"),
comment = c(ORCID = "0000-0002-5246-1453")))
URL: https://github.com/genomaths/MethylIT
Description: Methyl-IT implements methylation analysis based on signal detection
theory and machine-learning. 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 noise
(plus signal), which is expressed in terms of information
divergences.
Depends:
R (>= 3.6.0),
rtracklayer,
GenomicRanges
License: file LICENSE
biocViews:
Software, Epigenetics, MathematicalBiology, DNAMethylation,
DifferentialMethylation, Sequencing, Alignment, Bayesian,
DifferentialExpression, Biophysics
LazyData: yes
Imports:
BiocGenerics,
BiocParallel,
caret,
data.table,
genefilter,
GenomeInfoDb,
GenomicRanges,
graphics,
IRanges,
matrixStats,
MASS,
methods,
minpack.lm,
nls2,
RCurl,
S4Vectors,
stats,
utils,
XML
RoxygenNote: 7.2.3
Suggests:
spelling,
testthat,
markdown,
knitr,
BiocStyle
VignetteBuilder: knitr
Roxygen: list(markdown = TRUE)
Language: en-US
BugReports: https://github.com/genomaths/MethylIT/issues