A computational framework for mapping isoform landscape and regulatory mechanisms from spatial transcriptomics data
Jiayu Su, Yiming Qu, Megan D. Schertzer, Haochen Yang, Jiahao Jiang, Tenzin W. Lhakhang, Theodore M. Nelson, Stella Park, Qiliang Lai, Xi Fu, Seung-won Choi, David A. Knowles, Raúl Rabadán
This paper introduces SPLISOSM, a framework for analyzing spatial transcriptomics data to detect isoform-level patterns, identifying spatially variable transcript diversity and regulatory relationships in mouse and human brain tissues.
bioRxiv · May 2, 2025 · PreprintBioinformatics