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A comparative study of statistical methods for identifying differentially expressed genes in spatial transcriptomics.

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Title: A comparative study of statistical methods for identifying differentially expressed genes in spatial transcriptomics.
Authors: Wang Y; Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America.; Department of Biostatistics and Data Science, The University of Texas Health Science Center at Houston (UTHealth), Houston, Texas, United States of America., Zang C; Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America., Li Z; Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America., Guo CC; Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America., Lai D; Department of Biostatistics and Data Science, The University of Texas Health Science Center at Houston (UTHealth), Houston, Texas, United States of America., Wei P; Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America.
Source: PLoS computational biology [PLoS Comput Biol] 2026 Feb 11; Vol. 22 (2), pp. e1013956. Date of Electronic Publication: 2026 Feb 11 (Print Publication: 2026).
Publication Type: Journal Article; Comparative Study
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7358 (Electronic) Linking ISSN: 1553734X NLM ISO Abbreviation: PLoS Comput Biol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Wang+Y%22">Wang Y</searchLink>; Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America.; Department of Biostatistics and Data Science, The University of Texas Health Science Center at Houston (UTHealth), Houston, Texas, United States of America.<br /><searchLink fieldCode="AU" term="%22Zang+C%22">Zang C</searchLink>; Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America.<br /><searchLink fieldCode="AU" term="%22Li+Z%22">Li Z</searchLink>; Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America.<br /><searchLink fieldCode="AU" term="%22Guo+CC%22">Guo CC</searchLink>; Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America.<br /><searchLink fieldCode="AU" term="%22Lai+D%22">Lai D</searchLink>; Department of Biostatistics and Data Science, The University of Texas Health Science Center at Houston (UTHealth), Houston, Texas, United States of America.<br /><searchLink fieldCode="AU" term="%22Wei+P%22">Wei P</searchLink>; Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America.
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  Data: <searchLink fieldCode="JN" term="%22101238922%22">PLoS computational biology</searchLink> [PLoS Comput Biol] 2026 Feb 11; Vol. 22 (2), pp. e1013956. <i>Date of Electronic Publication: </i>2026 Feb 11 (<i>Print Publication: </i>2026).
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