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pro vyhledávání: '"Hua, Shuo Harper"'
In the analysis of spatially resolved transcriptomics data, detecting spatially variable genes (SVGs) is crucial. Numerous computational methods exist, but varying SVG definitions and methodologies lead to incomparable results. We review 33 state-of-
Externí odkaz:
http://arxiv.org/abs/2405.18779
Autor:
Yan G; Department of Statistics, University of California, Los Angeles, CA 90095-1554., Hua SH; Department of Biomedical Data Science, Stanford University, Stanford, CA 94305., Li JJ; Department of Statistics, University of California, Los Angeles, CA 90095-1554.; Department of Human Genetics, University of California, Los Angeles, CA 90095-7088.; Department of Computational Medicine, University of California, Los Angeles, CA 90095-1766.; Department of Biostatistics, University of California, Los Angeles, CA 90095-1772.; Radcliffe Institute for Advanced Study, Harvard University, Cambridge, MA 02138.
Publikováno v:
ArXiv [ArXiv] 2024 Oct 03. Date of Electronic Publication: 2024 Oct 03.
