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scGeneRythm: Using Neural Networks and Fourier Transformation to Cluster Genes by Time-Frequency Patterns in Single-Cell Data

2023-11-27

Abstract excerpt

Clustering genes in single-cell RNA sequencing plays a pivotal role in unraveling a plethora of biological processes, from cell differentiation to disease progression and metabolic pathways. Traditional time-domain methods are instrumental in certain analyses, yet they may overlook intricate relationships. For instance, genes that appear distinct in the time domain might exhibit striking similarities in the freque...

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Literature Corpus work
fc26b634-dcd6-57f7-be56-f3dc9d663773
DOI
10.1101/2023.11.26.568761
Open publication

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scGeneRythm: Using Neural Networks and Fourier Transformation to Cluster Genes by Time-Frequency Patterns in Single-Cell DataDOI 10.1101/2023.11.26.568761
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