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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 |
| Author: |
Teng Gao  [aut,
cre],
Evan Biederstedt [aut],
Peter Kharchenko [aut] |
| Maintainer: |
Teng Gao <tgaoteng at gmail.com> |
| License: |
MIT + file LICENSE |
| NeedsCompilation: |
yes |
| Materials: |
README |
| CRAN checks: |
hahmmr results |
Documentation:
Downloads:
Reverse dependencies:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=hahmmr
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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