Qishi Dong, Yi Yang, Ziye Luo, Haipeng Shen, Xingjie Shi, Jin Liu
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引用次数: 0
Abstract
Spatial Transcriptomics
In article number 2401145, Xingjie Shi, Jin Liu, and co-workers present QR-SIDE, a robust method for deconvolving multicellular spatial transcriptomics (SRT) data without requiring matched scRNA-seq references. By integrating marker gene spatial heterogeneity via Poisson regression and modeling non-marker genes with a hierarchical factor model, QR-SIDE improves robust cell-type abundance estimation and spatial domain identification. Validated on diverse SRT datasets, QR- IDE enhances spatial tissue analysis at finer cellular resolution.
Small MethodsMaterials Science-General Materials Science
CiteScore
17.40
自引率
1.60%
发文量
347
期刊介绍:
Small Methods is a multidisciplinary journal that publishes groundbreaking research on methods relevant to nano- and microscale research. It welcomes contributions from the fields of materials science, biomedical science, chemistry, and physics, showcasing the latest advancements in experimental techniques.
With a notable 2022 Impact Factor of 12.4 (Journal Citation Reports, Clarivate Analytics, 2023), Small Methods is recognized for its significant impact on the scientific community.
The online ISSN for Small Methods is 2366-9608.