A comparison of scRNA-seq annotation methods based on experimentally labeled immune cell subtype dataset

Abstract Cell-type annotation is a critical step in single-cell data analysis. With the development of numerous cell annotation methods, it is necessary to evaluate these methods to help researchers use them effectively. Reference datasets are essential for evaluation, but currently, the cell labels...

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Veröffentlicht in:	Briefings in bioinformatics 2024-07, Vol.25 (5)
Hauptverfasser:	Fu, Qiqing, Dong, Chenyu, Liu, Yunhe, Xia, Xiaoqiong, Liu, Gang, Zhong, Fan, Liu, Lei
Format:	Artikel
Sprache:	eng
Schlagworte:	Annotations Cluster Analysis Clustering Computational Biology - methods Computer applications Data analysis Datasets Humans Immune system Molecular Sequence Annotation RNA-Seq - methods Single-Cell Analysis - methods Single-Cell Gene Expression Analysis
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