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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) <<a href="https://doi.org/10.3390%2Fijms22031399" target="_top">doi:10.3390/ijms22031399</a>>. This package implements extensions of the work published by Ghannoum et. al. (2019) <<a href="https://doi.org/10.1101%2F700989" target="_top">doi:10.1101/700989</a>>.
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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) <<a href="https://doi.org/10.3390%2Fijms22031399" target="_top">doi:10.3390/ijms22031399</a>>. This package implements extensions of the work published by Ghannoum et. al. (2019) <<a href="https://doi.org/10.1101%2F700989" target="_top">doi:10.1101/700989</a>>.
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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) <<a href="https://doi.org/10.3390%2Fijms22031399" target="_top">doi:10.3390/ijms22031399</a>>. This package implements extensions of the work published by Ghannoum et. al. (2019) <<a href="https://doi.org/10.1101%2F700989" target="_top">doi:10.1101/700989</a>>.
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11- titleCRAN: Package DIscBIO
- Content-Typetext/html; charset=utf-8
- viewportwidth=device-width, initial-scale=1.0, user-scalable=yes
- citation_titleA User-Friendly Pipeline for Biomarker Discovery in Single-Cell Transcriptomics [R package DIscBIO version 1.2.2]
- citation_author1Salim Ghannoum
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5- og:titleDIscBIO: A User-Friendly Pipeline for Biomarker Discovery in Single-Cell Transcriptomics
- og:descriptionAn 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) <<a href="https://doi.org/10.3390%2Fijms22031399" target="_top">doi:10.3390/ijms22031399</a>>. This package implements extensions of the work published by Ghannoum et. al. (2019) <<a href="https://doi.org/10.1101%2F700989" target="_top">doi:10.1101/700989</a>>.
- og:imagehttps://CRAN.R-project.org/CRANlogo.png
- og:typewebsite
- og:urlhttps://CRAN.R-project.org/package=DIscBIO
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12- https://CRAN.R-project.org/package=DIscBIO
- https://CRAN.R-project.org/src/contrib/Archive/DIscBIO
- https://doi.org/10.1101%2F700989
- https://doi.org/10.32614/CRAN.package.DIscBIO
- https://doi.org/10.3390%2Fijms22031399