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DIscBIO: A User-Friendly Pipeline for Biomarker Discovery in Single-Cell Transcriptomics
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>.
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Package details |
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| Author | Salim Ghannoum [aut, cph], Alvaro Köhn-Luque [aut, ths], Waldir Leoncio [cre, aut], Damiano Fantini [ctb] |
| Maintainer | Waldir Leoncio <w.l.netto@medisin.uio.no> |
| License | MIT + file LICENSE |
| Version | 1.2.2 |
| URL | https://github.com/ocbe-uio/DIscBIO |
| Package repository | View on CRAN |
| Installation |
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