{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T20:34:34Z","timestamp":1772138074985,"version":"3.50.1"},"reference-count":41,"publisher":"Oxford University Press (OUP)","issue":"8","license":[{"start":{"date-parts":[[2025,7,26]],"date-time":"2025-07-26T00:00:00Z","timestamp":1753488000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000923","name":"Silicon Valley Community Foundation","doi-asserted-by":"publisher","award":["DAF2023-323340"],"award-info":[{"award-number":["DAF2023-323340"]}],"id":[{"id":"10.13039\/100000923","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,8,2]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Motivation<\/jats:title>\n                    <jats:p>Mutual nearest neighbors (MNN) is a widely used computational tool to perform batch correction for single-cell RNA-sequencing data. However, in applications such as spatial transcriptomics, it fails to take into account the 2D spatial information.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Here, we present spatialMNN, an algorithm that integrates multiple spatial transcriptomic samples and identifies spatial domains. Our approach begins by building a k-nearest neighbors (kNN) graph based on the spatial coordinates, prunes noisy edges, and identifies niches to act as anchor points for each sample. Next, we construct a MNN graph across the samples to identify similar niches. Finally, the spatialMNN graph can be partitioned using existing algorithms, such as the Louvain algorithm to predict spatial domains across the tissue samples. We demonstrate the performance of spatialMNN using large datasets, including one with N\u2009=\u200931 10x Genomics Visium samples. We also evaluate the computing performance of spatialMNN to other popular spatial clustering methods.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Availability and implementation<\/jats:title>\n                    <jats:p>Our software package is available on GitHub (https:\/\/github.com\/Pixel-Dream\/spatialMNN). The code is available on Zenodo (https:\/\/doi.org\/10.5281\/zenodo.15073963).<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/bioinformatics\/btaf403","type":"journal-article","created":{"date-parts":[[2025,7,15]],"date-time":"2025-07-15T13:14:54Z","timestamp":1752585294000},"source":"Crossref","is-referenced-by-count":2,"title":["Spatial mutual nearest neighbors for spatial transcriptomics data"],"prefix":"10.1093","volume":"41","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9678-1865","authenticated-orcid":false,"given":"Haowen","family":"Zhou","sequence":"first","affiliation":[{"name":"Bioinformatics and Systems Biology Graduate Program, University of California San Diego , Gilman, CA 92093,","place":["United States"]}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7437-7084","authenticated-orcid":false,"given":"Pratibha","family":"Panwar","sequence":"additional","affiliation":[{"name":"The University of Sydney School of Mathematics and Statistics, , Camperdown, NSW 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of Mathematics and Statistics, , Camperdown, NSW 2006,","place":["Australia"]},{"name":"The University of Sydney Sydney Precision Data Science Centre, , Camperdown, NSW 2006,","place":["Australia"]},{"name":"The University of Sydney Charles Perkins Centre, , Camperdown, NSW 2006,","place":["Australia"]}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7858-0231","authenticated-orcid":false,"given":"Stephanie C","family":"Hicks","sequence":"additional","affiliation":[{"name":"Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health , MD 21205,","place":["United States"]},{"name":"Department of Biomedical Engineering, Johns Hopkins University , MD 21218,","place":["United States"]},{"name":"Center for Computational Biology, Johns Hopkins University , MD 21218,","place":["United States"]},{"name":"Malone Center for Engineering in Healthcare, Johns Hopkins University , MD 21218,","place":["United 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