Leveraging multiple labeled datasets for the automated annotation of single-cell RNA and ATAC data

Leveraging multiple labeled datasets for the automated annotation of single-cell RNA and ATAC data

The creation of single-cell atlases is essential for understanding cellular diversity and heterogeneity. However, assembling these atlases is challenging due to batch effects and the need for accurate and consistent cell annotation. Current methods for single-cell RNA and ATAC sequencing (scRNA-Seq...

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Bibliographic Details
Main Authors: Joseba Sancho-Zamora, Akash Kanhirodan, Xabier Garrote, Juan Manuel Silva Rojas, Olivier Gevaert, Mikel Hernaez, Guillermo Serrano, Idoia Ochoa
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Computational and Structural Biotechnology Journal
Subjects:
Cell-type annotation
scRNA-Seq
scATAC-Seq
Single-cell atlases
Neural networks
Deep learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2001037025002594
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http://www.sciencedirect.com/science/article/pii/S2001037025002594

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