scOntoMatch
0.1.1Aligning Ontology Annotation Across Single Cell Datasets with 'scOntoMatch'
Overview
Unequal granularity of cell type annotation makes it difficult to compare scRNA-seq datasets at scale. Leveraging the ontology system for defining cell type hierarchy, 'scOntoMatch' aims to align cell type annotations to make them comparable across studies. The alignment involves two core steps: first is to trim the cell type tree within each dataset so each cell type does not have descendants, and then map cell type labels cross-studies by direct matching and mapping descendants to ancestors. Various functions for plotting cell type trees and manipulating ontology terms are also provided. In the Single Cell Expression Atlas hosted at EBI, a compendium of datasets with curated ontology labels are great inputs to this package.
Install
Health
- OK2026-08-0413 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 0%
- Documented parameters
- 100%
- Return-value docs
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- References docs
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Repository
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Checks run against github.com/papatheodorou-group/scontomatch on 2026-08-23.
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Code & Tests
Datasets
People & History
2 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 0.1.1Latest
- RR 4.3.0 released · 2023-04-21
- 0.1.02022-06-27
- RR 4.2.0 released · 2022-04-22
Package metadata
- First published
- 2022-06-27
- Total releases
- 2 / 4 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 3.5
- Download size
- 2.8 MB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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