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- W3083805655 abstract "Abstract Genetic regulation of gene expression, revealed by expression quantitative trait loci (eQTLs), exhibits complex patterns of tissue-specific effects. Characterization of these patterns may allow us to better understand mechanisms of gene regulation and disease etiology. We develop a constrained matrix factorization model, sn-spMF, to learn patterns of tissue-sharing and apply it to 49 human tissues from the Genotype-Tissue Expression (GTEx) project. The learned factors reflect tissues with known biological similarity and identify transcription factors that may mediate tissue-specific effects. sn-spMF, available at https://github.com/heyuan7676/ts_eQTLs , can be applied to learn biologically interpretable patterns of eQTL tissue-specificity and generate testable mechanistic hypotheses." @default.
- W3083805655 created "2020-09-14" @default.
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- W3083805655 date "2020-09-11" @default.
- W3083805655 modified "2023-10-06" @default.
- W3083805655 title "sn-spMF: matrix factorization informs tissue-specific genetic regulation of gene expression" @default.
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- W3083805655 doi "https://doi.org/10.1186/s13059-020-02129-6" @default.
- W3083805655 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7488540" @default.
- W3083805655 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/32912314" @default.
- W3083805655 hasPublicationYear "2020" @default.
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