Revealing tissue architecture through the hypercomplex Fourier analysis of spatial transcriptomics data

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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Publication Details

Journal
Bioinformatics Advances
Published
2024-12-26
DOI
https://doi.org/10.1093/bioadv/vbaf191
Primary Topic
Gene expression and cancer classification
Type
article
Field-Weighted Citation Impact
0.00

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article

Revealing tissue architecture through the hypercomplex Fourier analysis of spatial transcriptomics data

H. Robert Frost
Bioinformatics Advances
Gene expression and cancer classification
article

Revealing tissue architecture through the hypercomplex Fourier analysis of spatial transcriptomics data

H. Robert Frost
article en

Abstract

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/).

Bioinformatics AdvancesVol. 5(1)
Dartmouth College (US)
National Institutes of Health
Openalex Percentile: Top 77%
Gene expression and cancer classification
DOIOpen Access PDFOpenAlex
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Revealing tissue architecture through the hypercomplex Fourier analysis of spatial transcriptomics data — H. Robert Frost · Bioinformatics Advances (2024) | TGRS Research Map | TGRS