rsemmed
This is the released version of rsemmed; for the devel version, see rsemmed.
An interface to the Semantic MEDLINE database
Bioconductor version: Release (3.23)
A programmatic interface to the Semantic MEDLINE database. It provides functions for searching the database for concepts and finding paths between concepts. Path searching can also be tailored to user specifications, such as placing restrictions on concept types and the type of link between concepts. It also provides functions for summarizing and visualizing those paths.
Author: Leslie Myint [aut, cre] 
Maintainer: Leslie Myint <leslie.myint at gmail.com>
citation("rsemmed")):Leslie Myint. rsemmed: An interface to the Semantic MEDLINE database. doi:10.18129/B9.bioc.rsemmed, R package version 1.22.0, https://bioconductor.org/packages/rsemmed.
Generated from the package metadata; it may differ from the package's own citation.
Installation
To install this package, start R (version "4.6") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("rsemmed")For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("rsemmed")| rsemmed User's Guide | HTML | R Script |
| Reference Manual | ||
| NEWS | Text |
Details
| biocViews | Annotation, Pathways, Software, SystemsBiology |
| Version | 1.22.0 |
| In Bioconductor since | BioC 3.12 (R-4.0) (6 years) |
| License | Artistic-2.0 |
| Depends | R (>= 4.0), igraph |
| Imports | methods, magrittr, stringr, dplyr |
| System Requirements | |
| URL | https://github.com/lmyint/rsemmed |
| Bug Reports | https://github.com/lmyint/rsemmed/issues |
See More
| Suggests | testthat, knitr, BiocStyle, rmarkdown |
| Linking To | |
| Enhances | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Links To Me | |
| Build Report | Build Report, r-universe |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | rsemmed_1.22.0.tar.gz |
| Windows Binary (x86_64) | rsemmed_1.22.0.zip |
| macOS Binary (big-sur-x86_64) | rsemmed_1.22.0.tgz |
| macOS Binary (sonoma-arm64) | rsemmed_1.22.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/rsemmed |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/rsemmed |
| Package Short Url | https://bioconductor.org/packages/rsemmed/ |
| Package Downloads Report | Download Stats |