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: |
1.2.0 |
| Depends: |
R (≥ 4.0), SingleCellExperiment |
| Imports: |
methods, TSCAN, boot, httr, mclust, statmod, igraph, RWeka, philentropy, NetIndices, png, grDevices, RColorBrewer, ggplot2, rpart, fpc, cluster, rpart.plot, tsne, AnnotationDbi, org.Hs.eg.db, graphics, stats, utils, impute |
| Suggests: |
testthat, Seurat |
| Published: |
2021-04-28 |
| 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 |
| CRAN checks: |
DIscBIO results |