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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.2.3 |
rolling linux/jammy R-4.5 | DIscBIO_1.2.3.tar.gz |
1.0 MiB |
1.2.3 |
rolling linux/noble R-4.5 | DIscBIO_1.2.3.tar.gz |
1.0 MiB |
1.2.3 |
rolling source/ R- | DIscBIO_1.2.3.tar.gz |
1.0 MiB |
1.2.3 |
latest linux/jammy R-4.5 | DIscBIO_1.2.3.tar.gz |
1.0 MiB |
1.2.3 |
latest linux/noble R-4.5 | DIscBIO_1.2.3.tar.gz |
1.0 MiB |
1.2.3 |
latest source/ R- | DIscBIO_1.2.3.tar.gz |
1.0 MiB |
1.2.3 |
2026-04-26 source/ R- | DIscBIO_1.2.3.tar.gz |
1.0 MiB |
1.2.3 |
2026-04-23 source/ R- | DIscBIO_1.2.3.tar.gz |
1.0 MiB |
1.2.2 |
2025-04-20 source/ R- | DIscBIO_1.2.2.tar.gz |
469.2 KiB |