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Are dropout imputation methods for scRNA-seq effective for scHi-C data?
The prevalence of dropout events is a serious problem for single-cell Hi-C (scHiC) data due to insufficient sequencing depth and data coverage, which brings difficulties in downstream studies such as clustering and structural analysis. Complicating things further is the fact that dropouts are confou...
Tallennettuna:
| Julkaisussa: | Brief Bioinform |
|---|---|
| Päätekijät: | , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Oxford University Press
2020
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8293815/ https://ncbi.nlm.nih.gov/pubmed/33201180 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bib/bbaa289 |
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