This class is designed to represent the model object containing the estimate parameters, arguments and finals fits of the model on a basepair level.
● Data Source:
BioConductor
● Keywords:
● Alias: GenoGAM-class
●
0 images
|
Cbinding the columns all together and coercing to data.frame
● Data Source:
BioConductor
● Keywords:
● Alias: view,GenoGAM-method
●
0 images
|
GenoGAM
(Package: GenoGAM) :
GenoGAM: A package providing a framework to analyse ChIP-Seq data
GenoGAM: A package providing a framework to analyse ChIP-Seq data
● Data Source:
BioConductor
● Keywords:
● Alias: GenoGAM
●
0 images
|
This class is designed to represent the input for the GenoGAM model. it extends the GenomicTiles class.
● Data Source:
BioConductor
● Keywords:
● Alias: GenoGAMDataSet-class
●
0 images
|
This is the constructor function for GenoGAMDataSet. So far a GenoGAMDataSet can be constructed from either an experiment design file or data.frame or directly from a RangedSummarizedExperiment with a GPos object being the rowRanges.
● Data Source:
BioConductor
● Keywords:
● Alias: GenoGAMDataSet
●
0 images
|
GenoGAMDataSet to DataFrame
● Data Source:
BioConductor
● Keywords:
● Alias: GenoGAMDataSetToDataFrame
●
0 images
|
This class is designed to store settings for the computation of the GenoGAM package
● Data Source:
BioConductor
● Keywords:
● Alias: GenoGAMSettings-class
●
0 images
|
GenoGAMSettings
(Package: GenoGAM) :
The constructor function for GenoGAMSettings
The constructor function for GenoGAMSettings
● Data Source:
BioConductor
● Keywords:
● Alias: GenoGAMSettings
●
0 images
|
Getting a specific tile
● Data Source:
BioConductor
● Keywords:
● Alias: [,GenomicTiles,GRanges,ANY,ANY-method, [[,GenomicTiles,numeric,ANY-method
●
0 images
|
This class is designed to represent the entire genome (or a subset of it) and any additional data associated with the samples or positions. It extends the RangedSummarizedExperiment class and adds two additional index slots to keep track of the data. The main change compared to RangedSummarizedExperiment is the use of a GPos (basepair level) instead of GRanges (ranges level) object as rowRanges and the use of two GRanges objects as indices. The GPos object allows to store raw instead of summarized data in the assays. Because of this the size of genomic data can increase tremendously. Thus the GenomicTiles class automatically divides the data in (overlapping) tiles, making any operation on this data easy executable in parallel.
● Data Source:
BioConductor
● Keywords:
● Alias: GenomicTiles-class
●
0 images
|