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BiFET

Bias-free Footprint Enrichment Test

Bioconductor version: 3.23 · Package version: 1.32.0

BiFET identifies TFs whose footprints are over-represented in target regions compared to background regions after correcting for the bias arising from the imbalance in read counts and GC contents between the target and background regions. For a given TF k, BiFET tests the null hypothesis that the target regions have the same probability of having footprints for the TF k as the background regions while correcting for the read count and GC content bias. For this, we use the number of target regions with footprints for TF k, t_k as a test statistic and calculate the p-value as the probability of observing t_k or more target regions with footprints under the null hypothesis.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("BiFET")

Details

MaintainerAhrim Youn <Ahrim.Youn@jax.org>
AuthorAhrim Youn [aut, cre], Eladio Marquez [aut], Nathan Lawlor [aut], Michael Stitzel [aut], Duygu Ucar [aut]
LicenseGPL-3
Downloads rank396
Source branchRELEASE_3_23
biocViewsATACSeq, DNaseSeq, Epigenetics, GeneRegulation, Genetics, ImmunoOncology, RIPSeq, Software, Transcription

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageBiFET_1.32.0.tar.gz
Windows binary (x86_64)BiFET_1.32.0.zip
macOS binary (arm64)BiFET_1.32.0.tgz
macOS binary (x86_64)BiFET_1.32.0.tgz
Dependencies

Depends: R (>= 3.5.0)

Imports: stats, poibin, GenomicRanges

Suggests: rmarkdown, testthat, knitr