Package: blase 1.3.2

blase: Bulk Linkage Analysis for Single-cell Experiments
BLASE is a method for finding where bulk RNA-seq data lies on a single-cell pseudotime trajectory. It uses a fast and understandable approach based on Spearman correlation, with bootstrapping to provide confidence. BLASE can be used to "date" bulk RNA-seq data, annotate cell types in scRNA-seq, and help correct for developmental phenotype differences in bulk RNA-seq experiments.
Authors:
blase_1.3.2.tar.gz
blase_1.3.2.zip(r-4.7)blase_1.3.2.zip(r-4.6)blase_1.3.2.zip(r-4.5)
blase_1.3.2.tgz(r-4.6-any)blase_1.3.2.tgz(r-4.5-any)
blase_1.3.2.tar.gz(r-4.7-any)blase_1.3.2.tar.gz(r-4.6-any)
blase_1.3.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
blase/json (API)
| # Install 'blase' in R: |
| install.packages('blase', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/andrewmccluskey-uog/blase/issues
Pkgdown/docs site:https://andrewmccluskey-uog.github.io
- MCA_PF_SCE - Malaria Cell Atlas Plasmodium falciparum for BLASE Vignette
- painter_microarray - Painter 2018 Plasmodium falciparum 48h asexual lifecycle microarray data
- tradeSeq_BLASE_example_sce - TradeSeq Example SCE for BLASE Vignette
- zhang_2021_heat_shock_bulk - Zhang 2021 Plasmodium falciparum heat shock bulk data
On BioConductor:blase-1.3.1(bioc 3.24)blase-1.2.0(bioc 3.23)
transcriptomicssinglecellsequencinggeneexpressiontranscriptionrnaseqtimecoursecellbiologysoftwarecellbasedassays
Last updated from:843de9e652. Checks:1 WARNING, 9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| bioc-checks | WARNING | 264 | ||
| linux-devel-x86_64 | OK | 597 | ||
| source / vignettes | OK | 1470 | ||
| linux-release-x86_64 | OK | 604 | ||
| macos-release-arm64 | OK | 443 | ||
| macos-oldrel-arm64 | OK | 470 | ||
| windows-devel | OK | 511 | ||
| windows-release | OK | 485 | ||
| windows-oldrel | OK | 488 | ||
| wasm-release | OK | 236 |
Exports:annotate_sceas.BlaseDataassign_pseudotime_binsbest_binbest_correlationBlaseDatabootstrap_iterationsbulk_namebulk_name<-calculate_gene_peakednessevaluate_parametersevaluate_top_n_genesfind_best_paramsgene_peakedness_spread_selectiongenesgenes<-get_bins_as_bulkget_top_n_genesmap_all_best_binsmap_best_binmapping_historymetricplot_bin_populationplot_find_best_params_resultsplot_gene_peakednessplot_mapping_resultplot_mapping_result_corrplot_mapping_result_heatmapshowsmooth_genestrong_mappingtop_2_distance
Dependencies:abindaskpassassortheadbase64encbeachmatbeeswarmBHBiobaseBiocGenericsBiocNeighborsBiocParallelBiocSingularbitopsbootbslibcachemcaToolscliclustercodetoolscommonmarkcowplotcpp11crosstalkcurldata.tableDelayedArraydeldirdigestdotCall64dplyrdqrngevaluatefarverfastDummiesfastmapfitdistrplusFNNfontawesomeformatRfsfutile.loggerfutile.optionsfuturefuture.applygenericsGenomicRangesggbeeswarmggplot2ggrepelggridgesglobalsgluegoftestgplotsgridExtragtablegtoolsherehighrhtmltoolshtmlwidgetshttpuvhttricaigraphIRangesirlbaisobandjquerylibjsonliteKernSmoothknitrlabelinglambda.rlaterlatticelazyevallifecyclelistenvlmtestlsamagrittrMASSMatrixMatrixGenericsmatrixStatsmemoisemgcvmimeminiUInlmeopensslotelparallellypatchworkpbapplypheatmappillarpkgconfigplotlyplyrpngpolyclipprogressrpromisespurrrR6RANNrappdirsRColorBrewerRcppRcppAnnoyRcppArmadilloRcppEigenRcppHNSWRcppMLRcppProgressRcppTOMLreshape2reticulaterlangrmarkdownROCRrprojrootRSpectrarsvdRtsneS4ArraysS4VectorsS7sassScaledMatrixscalesscaterscattermoresctransformscuttleSeqinfoSeuratSeuratObjectshinySingleCellExperimentsitmosnowSnowballCsourcetoolsspspamSparseArrayspatstat.dataspatstat.explorespatstat.geomspatstat.randomspatstat.sparsespatstat.univarspatstat.utilsstringistringrSummarizedExperimentsurvivalsystensortibbletidyrtidyselecttinytexutf8uwotvctrsviporviridisviridisLitewithrxfunxtableXVectoryamlzoo
Last update: 2026-07-07
Started: 2023-10-27
Last update: 2026-02-13
Started: 2025-10-01
Last update: 2026-02-13
Started: 2025-10-01
