Package: HetSeq 0.1.1

Kevin Berg

HetSeq: Identifying Modulators of Cellular Responses Leveraging Intercellular Heterogeneity

Cellular responses to perturbations are highly heterogeneous and depend largely on the initial state of cells. Connecting post-perturbation cells via cellular trajectories to untreated cells (e.g. by leveraging metabolic labeling information) enables exploitation of intercellular heterogeneity as a combined knock-down and overexpression screen to identify pathway modulators, termed Heterogeneity-seq (see 'Berg et al' <doi:10.1101/2024.10.28.620481>). This package contains functions to generate cellular trajectories based on scSLAM-seq (single-cell, thiol-(SH)-linked alkylation of RNA for metabolic labelling sequencing) time courses, functions to identify pathway modulators and to visualize the results.

Authors:Kevin Berg [aut, cre], Florian Erhard [aut], Lygeri Sakellaridi [aut]

HetSeq_0.1.1.tar.gz
HetSeq_0.1.1.zip(r-4.7-any)HetSeq_0.1.1.zip(r-4.6-any)HetSeq_0.1.1.zip(r-4.5-any)
HetSeq_0.1.1.tgz(r-4.6-any)HetSeq_0.1.1.tgz(r-4.5-any)
HetSeq_0.1.1.tar.gz(r-4.7-any)HetSeq_0.1.1.tar.gz(r-4.6-any)
HetSeq_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
HetSeq/json (API)

# Install 'HetSeq' in R:
install.packages('HetSeq', repos = c('https://erhard-lab.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/erhard-lab/hetseq/issues

On CRAN:

Conda:

3.00 score 3 scripts 384 downloads 9 exports 187 dependencies

Last updated from:41ea419e20. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develNOTE270
source / vignettesOK252
linux-releaseNOTE221
macos-releaseNOTE237
macos-oldrelNOTE279
windows-develNOTE170
windows-releaseNOTE186
windows-oldrelNOTE179
wasm-releaseOK179

Exports:distmatHetseqHetseqClassifyHetseqDoubleMLHetseqTestmincostflowPlotClassifyPlotDoubleMLprune

Dependencies:abindaskpassbackportsbase64encbbotkbeeswarmBHbitopsbslibcachemCairocaToolscheckmateclasscliclusterclusterGenerationcodetoolscommonmarkcowplotcpp11crosstalkcurldata.tabledeldirdigestdoParalleldotCall64DoubleMLdplyrdqrnge1071evaluatefarverfastDummiesfastmapfitdistrplusFNNfontawesomeforeachfsfuturefuture.applygenericsggbeeswarmggplot2ggrastrggrepelggridgesglobalsgluegoftestgplotsgrandRgridExtragtablegtoolsherehighrhtmltoolshtmlwidgetshttpuvhttricaigraphirlbaisobanditeratorsjquerylibjsonliteKernSmoothknitrlabelinglaterlatticelazyevallfclgrlifecyclelistenvlmtestlpSolvemagrittrMASSMatrixmatrixStatsmemoisemimeminiUIminpack.lmmiraimlbenchmlr3mlr3learnersmlr3measuresmlr3miscmlr3tuningmoocoremvtnormnanonextnlmenumDerivopensslotelpalmerpenguinsparadoxparallellypatchworkpbapplypillarpkgconfigplotlyplyrpngpolyclippROCprogressrpromisesproxyPRROCpurrrR6raggRANNrappdirsrbibutilsRColorBrewerRcppRcppAnnoyRcppArmadilloRcppEigenRcppHNSWRcppProgressRcppThreadRcppTOMLRCurlRdpackreadstata13reshape2reticulaterlangrmarkdownROCRrprojrootRSpectraRtsneS7sassscalesscattermoresctransformSeuratSeuratObjectshinysitmosourcetoolsspspamspatstat.dataspatstat.explorespatstat.geomspatstat.randomspatstat.sparsespatstat.univarspatstat.utilsstringistringrsurvivalsyssystemfontstensortextshapingtibbletidyrtidyselecttinytexutf8uuiduwotvctrsviporviridisLitewithrxfunxtableyamlzoo