SemDist
Information Accretion-based Function Predictor Evaluation
Bioconductor version: Release (3.20)
This package implements methods to calculate information accretion for a given version of the gene ontology and uses this data to calculate remaining uncertainty, misinformation, and semantic similarity for given sets of predicted annotations and true annotations from a protein function predictor.
Author: Ian Gonzalez and Wyatt Clark
Maintainer: Ian Gonzalez <gonzalez.isv at gmail.com>
citation("SemDist")
):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("SemDist")
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("SemDist")
introduction.pdf | R Script | |
Reference Manual | ||
NEWS | Text |
Details
biocViews | Annotation, Classification, GO, Software |
Version | 1.40.0 |
In Bioconductor since | BioC 3.0 (R-3.1) (10 years) |
License | GPL (>= 2) |
Depends | R (>= 3.1), AnnotationDbi, GO.db, annotate |
Imports | |
System Requirements | |
URL | http://github.com/iangonzalez/SemDist |
See More
Suggests | GOSemSim |
Linking To | |
Enhances | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | SemDist_1.40.0.tar.gz |
Windows Binary (x86_64) | SemDist_1.40.0.zip (64-bit only) |
macOS Binary (x86_64) | SemDist_1.40.0.tgz |
macOS Binary (arm64) | SemDist_1.39.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/SemDist |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/SemDist |
Bioc Package Browser | https://code.bioconductor.org/browse/SemDist/ |
Package Short Url | https://bioconductor.org/packages/SemDist/ |
Package Downloads Report | Download Stats |