The impact of dropouts in scRNAseq dense neighborhood analysis
Single cell RNA sequencing (scRNAseq) provides the possibility to investigate transcriptomic profiles on a single cell level. However, the data show unique challenges in comparison to bulk transcriptomic data, one being high dropout rates, which yields high sparsity data. Many classical analysis and...
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| Principais autores: | , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Elsevier
2025-01-01
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| Serier: | Computational and Structural Biotechnology Journal |
| Fag: | |
| Online adgang: | http://www.sciencedirect.com/science/article/pii/S2001037025001023 |
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