SM3DD with Segmented PCA: A Comprehensive Method for Interpreting 3D Spatial Transcriptomics
Tony Blick, Aaron Kilgallon, James H. Monkman, Caroline Louise Cooper, Chin Wee Tan, Emily E. Killingbeck, Liuliu Pan, Youngmi Kim, Yan Liang, Andy Nam, Michael Leon, Paulo S F Guimaraes, Seigo Nagashima, Ana PC Martins, Cleber Machado-Souza, , Arutha Kulasinghe
The paper introduces SM3DD, a 3D spatial transcriptomics analysis method, and finds differences in transcript distances between normal and SARS-CoV-2 patient lung tissues.
NAR Genomics and Bioinformatics · Jan 6, 2026Peer-reviewedBioinformatics