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bioc
dmrseq:Detection and inference of differentially methylated regions from Whole Genome Bisulfite Sequencing
This package implements an approach for scanning the genome to detect and perform accurate inference on differentially methylated regions from Whole Genome Bisulfite Sequencing data. The method is based on comparing detected regions to a pooled null distribution, that can be implemented even when as few as two samples per population are available. Region-level statistics are obtained by fitting a generalized least squares (GLS) regression model with a nested autoregressive correlated error structure for the effect of interest on transformed methylation proportions.
Maintained by Keegan Korthauer. Last updated 5 months ago.
immunooncologydnamethylationepigeneticsmultiplecomparisonsoftwaresequencingdifferentialmethylationwholegenomeregressionfunctionalgenomics
6.39 score 59 scripts 1 dependents
cran
rosetta:Parallel Use of Statistical Packages in Teaching
When teaching statistics, it can often be desirable to uncouple the content from specific software packages. To ease such efforts, the Rosetta Stats website (<https://rosettastats.com>) allows comparing analyses in different packages. This package is the companion to the Rosetta Stats website, aiming to provide functions that produce output that is similar to output from other statistical packages, thereby facilitating 'software-agnostic' teaching of statistics.
Maintained by Gjalt-Jorn Peters. Last updated 2 years ago.
2.70 score