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Advancing Gene Regulatory Network Inference Through Graph Learning and
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Advancing Gene Regulatory Network Inference Through Graph Learning and
A novel deep learning framework is poised to revolutionize the reconstruction of gene regulatory networks (GRNs) from single-cell RNA sequencing (scRNA-seq) data, promising unprecedented insights into cellular regulation by integrating global network topology learning with biologically informed statistical modeling. This cutting-edge methodology, named ZINB-GRAN, addresses long-standing challenges in accurately inferring the complex web of gene …
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