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scROSHI

Robust Supervised Hierarchical Identification of Single Cells

v1.0.0.0 · Jan 10, 2023 · MIT + file LICENSE

Description

Identifying cell types based on expression profiles is a pillar of single cell analysis. 'scROSHI' identifies cell types based on expression profiles of single cell analysis by utilizing previously obtained cell type specific gene sets. It takes into account the hierarchical nature of cell type relationship and does not require training or annotated data. A detailed description of the method can be found at: Prummer, Bertolini, Bosshard, Barkmann, Yates, Boeva, The Tumor Profiler Consortium, Stekhoven, and Singer (2022) <doi:10.1101/2022.04.05.487176>.

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ERROR r-devel-linux-x86_64-debian-clang

package dependencies

Packages required but not available:
  'SingleCellExperiment', 'SummarizedExperiment'

See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’
manual.
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Check History

ERROR 13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE Mar 9, 2026
ERROR r-devel-linux-x86_64-debian-clang

package dependencies

Packages required but not available:
  'SingleCellExperiment', 'SummarizedExperiment'

See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’
manual.

Dependency Network

Dependencies Reverse dependencies limma S4Vectors SingleCellExperiment SummarizedExperiment uwot scROSHI

Version History

new 1.0.0.0 Mar 10, 2026