hahmmr: Haplotype-Aware Hidden Markov Model for RNA
Haplotype-aware Hidden Markov Model for RNA (HaHMMR) is a method for detecting copy number variations (CNVs) from bulk RNA-seq data. Additional examples, documentations, and details on the method are available at <https://github.com/kharchenkolab/hahmmr/>.
| Version: | 1.0.0 |
| Depends: | R (≥ 4.1.0) |
| Imports: | data.table,dplyr,GenomicRanges,ggplot2,glue,IRanges, methods,patchwork,Rcpp,stringr,tibble,zoo |
| LinkingTo: | Rcpp,RcppArmadillo,roptim |
| Suggests: | ggrastr,testthat |
| Published: | 2023-10-25 |
| DOI: | 10.32614/CRAN.package.hahmmr |
| Author: | Teng Gao [aut, cre], Evan Biederstedt [aut], Peter Kharchenko [aut] |
| Maintainer: | Teng Gao <tgaoteng at gmail.com> |
| License: | MIT + fileLICENSE |
| NeedsCompilation: | yes |
| Materials: | README |
| CRAN checks: | hahmmr results |
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