Alleviating batch effects in cell type deconvolution with SCCAF-D

Alleviating batch effects in cell type deconvolution with SCCAF-D

Abstract Cell type deconvolution methods can impute cell proportions from bulk transcriptomics data, revealing changes in disease progression or organ development. But benchmarking studies often use simulated bulk data from the same source as the reference, which limits its application scenarios. Th...

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Bibliographic Details
Main Authors: Shuo Feng, Liangfeng Huang, Anna Vathrakokoili Pournara, Ziliang Huang, Xinlu Yang, Yongjian Zhang, Alvis Brazma, Ming Shi, Irene Papatheodorou, Zhichao Miao
Format: Article
Language:English
Published: Nature Portfolio 2024-12-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-024-55213-x
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