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http://conacyt.repositorioinstitucional.mx/jspui/handle/1000/8381| cellstruct: Metrics scores to quantify the biological preservation between two embeddings | |
| Jui Wan Loh John Ouyang | |
| Acceso Abierto | |
| Atribución-NoComercial-SinDerivadas | |
| https://doi.org/10.1101/2023.11.13.566337 | |
| https://www.biorxiv.org/content/10.1101/2023.11.13.566337v1 | |
| Single-cell transcriptomics (scRNA-seq) is extensively applied in uncovering biological heterogeneity. There are different dimensionality reduction techniques, but it is unclear which method works best in preserving biological information when creating a two-dimensional embedding. Therefore, we implemented cellstruct, which calculates three metrics scores to quantify the global or local biological similarity between a two-dimensional and its corresponding higher-dimensional PCA embeddings at either single-cell or cluster level. These scores pinpoint cell populations with low biological information preservation, in addition to visualizing the cell-cell or cluster-cluster relationships in the PCA embedding. Two study cases illustrate the usefulness of cellstruct in exploratory data analysis. | |
| bioRxiv | |
| 14-11-2023 | |
| Preimpreso | |
| Inglés | |
| Público en general | |
| VIRUS RESPIRATORIOS | |
| Aparece en las colecciones: | Materiales de Consulta y Comunicados Técnicos |
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| Fichero | Tamaño | Formato | |
|---|---|---|---|
| cellstruct_ Metrics scores to quantify the biological preservation between two embeddings.pdf | 2.65 MB | Adobe PDF | Visualizar/Abrir |