Rtsne: T-Distributed Stochastic Neighbor Embedding using a Barnes-Hut Implementation

An R wrapper around the fast T-distributed Stochastic Neighbor Embedding implementation by Van der Maaten (see <https://github.com/lvdmaaten/bhtsne/> for more information on the original implementation).

Version: 0.15
Imports: Rcpp (≥ 0.11.0), stats
LinkingTo: Rcpp
Suggests: irlba, testthat
Published: 2018-11-10
Author: Jesse Krijthe [aut, cre], Laurens van der Maaten [cph] (Author of original C++ code)
Maintainer: Jesse Krijthe <jkrijthe at gmail.com>
License: file LICENSE
URL: https://github.com/jkrijthe/Rtsne
NeedsCompilation: yes
Citation: Rtsne citation info
Materials: README NEWS
CRAN checks: Rtsne results


Reference manual: Rtsne.pdf
Package source: Rtsne_0.15.tar.gz
Windows binaries: r-devel: Rtsne_0.15.zip, r-release: Rtsne_0.15.zip, r-oldrel: Rtsne_0.15.zip
macOS binaries: r-release: Rtsne_0.15.tgz, r-oldrel: Rtsne_0.15.tgz
Old sources: Rtsne archive

Reverse dependencies:

Reverse depends: epihet, scAlign, SCATE
Reverse imports: AutoPipe, bcTSNE, CATALYST, ccfindR, celda, CellTrails, ChromSCape, chromVAR, CINNA, CiteFuse, conos, CytoTree, densityClust, EmbedSOM, esetVis, FateID, fdm2id, flowSpy, HDclust, HIPPO, iCellR, ILoReg, labdsv, Linnorm, M3C, maotai, Mercator, microbiome, MOFA2, monocle, MOSS, nanny, netDx, Onassis, oneSENSE, PAC, pagoda2, phemd, pipeComp, RaceID, randomcoloR, rliger, robustSingleCell, Sconify, scRNAtools, scTHI, Seurat, sincell, SingleCellSignalR, singleCellTK, spathial, SubCellBarCode, tomoda, visvow
Reverse suggests: AUCell, BloodCancerMultiOmics2017, CancerInSilico, CellMixS, clusterExperiment, cola, coRanking, densvis, diceR, dimRed, dyndimred, HCAData, HDCytoData, iasva, iSEEu, mmb, netSmooth, NewWave, proActiv, ProjectionBasedClustering, pRoloc, restfulSE, scater, scBFA, scds, scGPS, SingleCellExperiment, singleCellHaystack, slinky, stm, structToolbox, themetagenomics, tidybulk, velociraptor, zinbwave


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