Package: BiFET 1.27.0

Ahrim Youn

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.

Authors:Ahrim Youn [aut, cre], Eladio Marquez [aut], Nathan Lawlor [aut], Michael Stitzel [aut], Duygu Ucar [aut]

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NEWS

# Install 'BiFET' in R:
install.packages('BiFET', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On BioConductor:BiFET-1.25.0(bioc 3.20)BiFET-1.24.0(bioc 3.19)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

immunooncologygeneticsepigeneticstranscriptiongeneregulationatacseqdnaseseqripseqsoftware

4.00 score 5 scripts 307 downloads 1 exports 18 dependencies

Last updated 23 days agofrom:68a0c10086. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 30 2024
R-4.5-winOKOct 30 2024
R-4.5-linuxOKOct 30 2024
R-4.4-winOKOct 30 2024
R-4.4-macOKOct 30 2024
R-4.3-winOKOct 30 2024
R-4.3-macOKOct 30 2024

Exports:calculate_enrich_p

Dependencies:askpassBiocGenericscurlGenomeInfoDbGenomeInfoDbDataGenomicRangeshttrIRangesjsonlitemimeopensslpoibinR6S4VectorssysUCSC.utilsXVectorzlibbioc

A Guide to using BiFET

Rendered fromBiFET.Rmdusingknitr::rmarkdownon Oct 30 2024.

Last update: 2018-05-17
Started: 2017-12-20