ArticleBioinformatics advances2025
Revealing tissue architecture through the hypercomplex Fourier analysis of spatial transcriptomics data.
Article in Bioinformatics advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Motivation: We present an approach for analyzing spatial transcriptomics (ST) data using a quaternion-domain discrete Fourier transform. Quaternions are four-dimensional hypercomplex numbers that have been primarily employed to represent rotations in computer graphics with biomedical applications focused on biomolecule structure and orientation. Results: According to our proposed model, the quaternion associated with each location in an ST dataset represents a vector in Availability and implementation: An implementation of this model, support for the hypercomplex Fourier analysis of ST data, and example vignettes are included in the QSC R package (https://hrfrost.host.dartmouth.edu/QSC/).
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