Article

A computational framework for mapping isoform landscape and regulatory mechanisms from spatial transcriptomics data

2025-05-08

Abstract excerpt

Transcript diversity including splicing and alternative 3’ end usage is crucial for cellular identity and adaptation, yet its spatial coordination remains poorly understood. Here, we present SPLISOSM (SpatiaL ISOform Statistical Modeling), a computational framework for detecting isoform-resolution patterns from spatial transcriptomics data. SPLISOSM leverages multivariate testing to account for spot- and isoform-l...

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Literature Corpus work: 21338122-56a7-5053-ad92-af76c34c6371
DOI: 10.1101/2025.05.02.651907

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