Package: HetSeq 0.1.0

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_0.1.0.tar.gz
HetSeq_0.1.0.zip(r-4.5)HetSeq_0.1.0.zip(r-4.4)HetSeq_0.1.0.zip(r-4.3)
HetSeq_0.1.0.tgz(r-4.5-any)HetSeq_0.1.0.tgz(r-4.4-any)HetSeq_0.1.0.tgz(r-4.3-any)
HetSeq_0.1.0.tar.gz(r-4.5-noble)HetSeq_0.1.0.tar.gz(r-4.4-noble)
HetSeq_0.1.0.tgz(r-4.4-emscripten)
HetSeq.pdf |HetSeq.html
HetSeq/json (API)
NEWS

# 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:

3.54 score 235 downloads 9 exports 185 dependencies

Last updated 1 months agofrom:00e1481163. Checks:1 OK, 8 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 06 2025
R-4.5-winNOTEMar 06 2025
R-4.5-macNOTEMar 06 2025
R-4.5-linuxNOTEMar 06 2025
R-4.4-winNOTEMar 06 2025
R-4.4-macNOTEMar 06 2025
R-4.4-linuxNOTEMar 06 2025
R-4.3-winNOTEMar 06 2025
R-4.3-macNOTEMar 06 2025

Exports:distmatHetseqHetseqClassifyHetseqDoubleMLHetseqTestmincostflowPlotClassifyPlotDoubleMLprune

Dependencies:abindaskpassbackportsbase64encbbotkbeeswarmBHbitopsbslibcachemCairocaToolscheckmateclasscliclusterclusterGenerationcodetoolscolorspacecommonmarkcowplotcpp11crayoncrosstalkcurldata.tabledeldirdigestdoParalleldotCall64DoubleMLdplyrdqrnge1071evaluatefansifarverfastDummiesfastmapfitdistrplusFNNfontawesomeforeachfsfuturefuture.applygenericsggbeeswarmggplot2ggrastrggrepelggridgesglobalsgluegoftestgplotsgrandRgridExtragtablegtoolsherehighrhtmltoolshtmlwidgetshttpuvhttricaigraphirlbaisobanditeratorsjquerylibjsonliteKernSmoothknitrlabelinglaterlatticelazyevalleidenbaselfclgrlifecyclelistenvlmtestlpSolvemagrittrMASSMatrixmatrixStatsmemoisemgcvmimeminiUIminpack.lmmlbenchmlr3mlr3learnersmlr3measuresmlr3miscmlr3tuningmunsellmvtnormnlmenumDerivopensslpalmerpenguinsparadoxparallellypatchworkpbapplypillarpkgconfigplotlyplyrpngpolyclippROCprogressrpromisesproxyPRROCpurrrR6raggRANNrappdirsRColorBrewerRcppRcppAnnoyRcppArmadilloRcppEigenRcppHNSWRcppProgressRcppTOMLRCurlreadstata13reshape2reticulaterlangrmarkdownROCRrprojrootRSpectraRtsnesassscalesscattermoresctransformSeuratSeuratObjectshinysitmosourcetoolsspspamspatstat.dataspatstat.explorespatstat.geomspatstat.randomspatstat.sparsespatstat.univarspatstat.utilsstringistringrsurvivalsyssystemfontstensortextshapingtibbletidyrtidyselecttinytexutf8uuiduwotvctrsviporviridisLitewithrxfunxtableyamlzoo