A Flexible Data-Driven Framework for Correcting Coarsely Annotated scRNA-seq Data

Cells are the fundamental units of life and exhibit significant diversity in structure, behavior, and function, known as cell heterogeneity. The advent and development of single-cell RNA sequencing (scRNA-seq) technology have provided a crucial data foundation for studying cellular heterogeneity. Cu...

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Bibliographic Details

Published in:	Big Data Mining and Analytics
Main Authors:	Ruiqing Zheng, Yongxin He, Jiawen Huang, Shichao Kan, Hui Wang, Edwin Wang, Min Li
Format:	Article
Language:	English
Published:	Tsinghua University Press 2025-10-01
Subjects:	single-cell rna sequencing (scrna-seq) cell heterogeneity cell annotation supervised contrastive learning
Online Access:	https://www.sciopen.com/article/10.26599/BDMA.2025.9020009