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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Bibliographic Details

Published in:	Computational and Structural Biotechnology Journal
Main Authors:	Alisa Pavel, Manja Gersholm Grønberg, Line H. Clemmensen
Format:	Article
Language:	English
Published:	Elsevier 2025-01-01
Subjects:	scRNAseq Dropouts Clustering Sparsity
Online Access:	http://www.sciencedirect.com/science/article/pii/S2001037025001023