rnb.execute.lump: Leukocytes unmethylation for purity
In RnBeads: RnBeads
Description
Usage
Arguments
Details
Value
Author(s)
Description
Implementation of the LUMP (Leukocytes UnMethylation for Purity) algorithm for purity estimation on methylation
datasets.
Usage
1
rnb.execute.lump(dataset)
Arguments
dataset
Methylation dataset to study, provided as an object of type inheriting RnBSet.
Details
The LUMP algorithm is developed by Dvir Aran, Marina Sirota and Atul J. Buttea.
Value
Purity esimates provided as a vector of values in the range [0, 1]. The attribute
"sites" contains the number of sites used in estimating the immune cell proportions. In case the
dataset does not contain measurements for any of the sites on which LUMP focuses, the return values is
NULL.
Author(s)
Yassen Assenov
RnBeads documentation built on March 3, 2021, 2 a.m.
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Description Usage Arguments Details Value Author(s)
Description
Implementation of the LUMP (Leukocytes UnMethylation for Purity) algorithm for purity estimation on methylation datasets.
Usage
1 | rnb.execute.lump(dataset)
|
Arguments
dataset |
Methylation dataset to study, provided as an object of type inheriting |
Details
The LUMP algorithm is developed by Dvir Aran, Marina Sirota and Atul J. Buttea.
Value
Purity esimates provided as a vector of values in the range [0, 1]. The attribute
"sites" contains the number of sites used in estimating the immune cell proportions. In case the
dataset does not contain measurements for any of the sites on which LUMP focuses, the return values is
NULL.
Author(s)
Yassen Assenov
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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