view,GenoGAM-method

object

A <code>GRanges</code> object. Makes it possible to
select regions by <code>GRanges</code>. Either ranges or seqnames, start and
end must be supplied

ranges

A chromosomes name. Either ranges or seqnames, start and
end must be supplied

seqnames

A start site. Either ranges or seqnames, start and
end must be supplied

start

An end site. Either ranges or seqnames, start and
end must be supplied


Cbinding the columns all together and coercing to data.frame


This package allows statistical analysis of genome-wide
data with smooth functions using generalized additive models
based on the implementation from the R-package 'mgcv'. It
provides methods for the statistical analysis of ChIP-Seq data
including inference of protein occupancy, and pointwise and
region-wise differential analysis. Estimation of dispersion and
smoothing parameters is performed by cross-validation. Scaling
of generalized additive model fitting to whole chromosomes is
achieved by parallelization over overlapping genomic intervals.

view,GenoGAM-method: View the dataset

Description

Usage

Arguments

Value

Examples