CRAN/E | BIDistances

BIDistances

Bioinformatic Distances

Installation

About

A few high-performant methods for computing distances measures for bioinformatics data. The weighted euclidean distance can be computed with 'OpenCL' on the GPU or with a parallelized version on the CPU. Other important distance measures for bioinformatics data are selected from the R package 'parallelDist'. A special distance measure for the Gene Ontology is available.

Citation BIDistances citation info

Key Metrics

Version 0.0.2
R ≥ 3.5.0
Published 2023-05-18 127 days ago
Needs compilation? no
License GPL-3
CRAN checks BIDistances results

Downloads

Last 24 hours 0
Last 7 days 1
Last 30 days 7 -50%
Last 90 days 26 -82%
Last 365 days 167

Maintainer

Maintainer

Quirin Stier

Quirin_Stier@gmx.de

Authors

Quirin Stier

aut / rev / ctb / cre

Michael Thrun

aut

Luca Brinkmann

ctb

Material

NEWS
Reference manual
Package source

Vignettes

BIDistances

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-develnot available

x86_64

r-releasenot available

x86_64

r-oldrelnot available

x86_64

Depends

R ≥ 3.5.0

Imports

parallelDist

Suggests

knitr
rmarkdown
remotes
sphet
OpenCL
parallel