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BiocNeighbors

This is thereleased version of BiocNeighbors; for the devel version, seeBiocNeighbors.

Nearest Neighbor Detection for Bioconductor Packages

Platform availability badgeRanking badgeSupport activity badgeYears in BioConductor badgeBuild results badgeLast commit badgeDependency count badge

DOI: 10.18129/B9.bioc.BiocNeighbors


Bioconductor version: Release (3.22)

Implements exact and approximate methods for nearest neighbor detection, in a framework that allows them to be easily switched within Bioconductor packages or workflows. Exact searches can be performed using the k-means for k-nearest neighbors algorithm or with vantage point trees. Approximate searches can be performed using the Annoy or HNSW libraries. Searching on either Euclidean or Manhattan distances is supported. Parallelization is achieved for all methods by using BiocParallel. Functions are also provided to search for all neighbors within a given distance.

Author: Aaron Lun [aut, cre, cph]

Maintainer: Aaron Lun <infinite.monkeys.with.keyboards at gmail.com>

Citation (from within R, entercitation("BiocNeighbors")):

Installation

To install this package, start R (version "4.5") and enter:

if (!require("BiocManager", quietly = TRUE))    install.packages("BiocManager")BiocManager::install("BiocNeighbors")

For older versions of R, please refer to the appropriateBioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("BiocNeighbors")
Finding neighbors in high-dimensional spaceHTMLR Script
Reference ManualPDF
NEWSText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsClassification,Clustering,Software
Version2.4.0
In Bioconductor sinceBioC 3.8 (R-3.5) (7 years)
LicenseGPL-3
Depends
ImportsRcpp, methods
System RequirementsC++17
URL
See More
SuggestsBiocParallel,testthat,BiocStyle,knitr,rmarkdown
Linking ToRcpp,assorthead
Enhances
Depends On MeOSCA.advanced, OSCA.workflows, SingleRBook
Imports Mebatchelor,bluster,CellMixS,clustSIGNAL,concordexR,cydar,GeDi,imcRtools,lemur,miloR,mumosa,poem,scater,scDblFinder,scider,scMerge,scrapper,SingleR,smoothclust,SpatialFeatureExperiment,SpotSweeper,StabMap,SVP,UCell
Suggests MeClassifyR,scLANE,TrajectoryUtils,TSCAN
Links To Mescrapper,SingleR
Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source PackageBiocNeighbors_2.4.0.tar.gz
Windows Binary (x86_64) BiocNeighbors_2.4.0.zip
macOS Binary (x86_64)BiocNeighbors_2.4.0.tgz
macOS Binary (arm64)BiocNeighbors_2.4.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/BiocNeighbors
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/BiocNeighbors
Bioc Package Browserhttps://code.bioconductor.org/browse/BiocNeighbors/
Package Short Urlhttps://bioconductor.org/packages/BiocNeighbors/
Package Downloads ReportDownload Stats

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