Bioconductor/HMMRATAC
HMMRATAC - a semi-supervised machine learning approach for identifying open chromatin regions from ATAC-Seq data using Hidden Markov Models

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Bioconductor/HMMRATAC: HMMRATAC - a semi-supervised machine learning approach for identifying open chromatin regions from ATAC-Seq data using Hidden Markov Models
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HMMRATAC - a semi-supervised machine learning approach for identifying open chromatin regions from ATAC-Seq data using Hidden Markov Models

DESCRIPTION
NAMESPACE
R/HMMRATAC.R R/utility-functions.R R/zzz.R
inst/extdata/hg19.chr22.genome
inst/extdata/sigs_BG.bed
inst/extdata/sigs_BG.txt
inst/extdata/sigs_BG_hypergeo3.rda
inst/extdata/sigs_BG_total_results3.txt
inst/extdata/sigs_LPS.bed
inst/extdata/sigs_LPS.txt
inst/extdata/sigs_LPS_hypergeo3.rda
inst/extdata/sigs_LPS_total_results3.txt
inst/java/HMMRATAC.jar
inst/script/hyper_script.R inst/script/match_to_gene.R man/HMMRATAC.Rd tests/testthat.R vignettes/HMMRATAC.Rmd
vignettes/bibliography.bib
Bioconductor/HMMRATAC documentation built on July 31, 2020, 3:07 p.m.

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