The authors developed a statistical framework called spectral network QTL (snQTL) to identify genetic loci that influence gene co-expression networks using spectral tensor decomposition. Applying this method to three-spined stickleback data, they identified genetic regions that affect global co-expression patterns, revealing associations that would be missed by traditional eQTL methods and offering new insights into complex genotype and phenotype relationships.
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Data-Sci-Publications
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https://pubmed.ncbi.nlm.nih.gov/40245036/
Short Title
A spectral framework to map QTLs affecting joint
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PLoS Comput Biol