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. |
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| 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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| ISSN: | 1553-7358 |
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| DOI: | 10.1371/journal.pcbi.1013956 |
