recipe bioconductor-bifet

Bias-free Footprint Enrichment Test






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.

package bioconductor-bifet

(downloads) docker_bioconductor-bifet



Required By:


With an activated Bioconda channel (see set-up-channels), install with:

conda install bioconductor-bifet

and update with:

conda update bioconductor-bifet

or use the docker container:

docker pull<tag>

(see bioconductor-bifet/tags for valid values for <tag>)

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