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.
|Author||Georg Stricker [aut, cre], Alexander Engelhardt [aut], Julien Gagneur [aut]|
|Bioconductor views||ChIPSeq ChipOnChip DifferentialExpression DifferentialPeakCalling Epigenetics Genetics ImmunoOncology Regression WholeGenome|
|Maintainer||Georg Stricker <email@example.com>|
|Package repository||View on GitHub|
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