An open, multi-algorithmic pipeline for easy, fast and efficient analysis of cellular sub-populations and the molecular signatures that characterize them. The pipeline consists of four successive steps: data pre-processing, cellular clustering with pseudo-temporal ordering, defining differential expressed genes and biomarker identification. More details on Ghannoum et. al. (2021) <doi:10.3390/ijms22031399>. This package implements extensions of the work published by Ghannoum et. al. (2019) <doi:10.1101/700989>.
Version: 1.2.2 Depends: R (≥ 4.0), SingleCellExperiment Imports: methods, TSCAN, httr, mclust, statmod, igraph, RWeka, vegan, NetIndices, png, grDevices, RColorBrewer, ggplot2, rpart, fpc, cluster, rpart.plot, tsne, AnnotationDbi, org.Hs.eg.db, graphics, stats, utils, impute, withr Suggests: testthat, Seurat Published: 2023-11-06 DOI: 10.32614/CRAN.package.DIscBIO Author: Salim Ghannoum [aut, cph], Alvaro Köhn-Luque [aut, ths], Waldir Leoncio [cre, aut], Damiano Fantini [ctb] Maintainer: Waldir Leoncio <w.l.netto at medisin.uio.no> BugReports: https://github.com/ocbe-uio/DIscBIO/issues License: MIT + file LICENSE URL: https://github.com/ocbe-uio/DIscBIO NeedsCompilation: no Materials: NEWS In views: Omics CRAN checks: DIscBIO resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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