Search alternatives:
significant applications » significant implications (Expand Search), significant associations (Expand Search), significant variations (Expand Search)
applications graphs » application rates (Expand Search), applications mass (Expand Search)
nn decrease » _ decrease (Expand Search), a decrease (Expand Search), mean decrease (Expand Search)
we decrease » _ decrease (Expand Search), a decrease (Expand Search), mean decrease (Expand Search)
significant applications » significant implications (Expand Search), significant associations (Expand Search), significant variations (Expand Search)
applications graphs » application rates (Expand Search), applications mass (Expand Search)
nn decrease » _ decrease (Expand Search), a decrease (Expand Search), mean decrease (Expand Search)
we decrease » _ decrease (Expand Search), a decrease (Expand Search), mean decrease (Expand Search)
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Analysis correlation between indices and entropy measures <i>RN</i>12, <i>ERN</i>12.
Published 2024Subjects: -
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Analysis correlation between indices and entropy measures <i>M</i>2, <i>EM</i>2.
Published 2024Subjects: -
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Manhattan plot that shows the location of genes involved in folate, homocysteine, and transsulfuration pathways for which we observed, from hybrid analyses, a significantly decreased risk of obstructive heart defects when the risk variant was paternally-derived compared to maternally-derived, The National Birth Defects Prevention Study, USA, October 1997–August 2008 births.
Published 2021“…<p>Manhattan plot that shows the location of genes involved in folate, homocysteine, and transsulfuration pathways for which we observed, from hybrid analyses, a significantly decreased risk of obstructive heart defects when the risk variant was paternally-derived compared to maternally-derived, The National Birth Defects Prevention Study, USA, October 1997–August 2008 births.…”
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Heterogeneous Graph Contrastive Learning with Graph Diffusion for Drug Repositioning
Published 2025“…Second, for local feature extraction, we employ a bidirectional graph convolutional network with a subgraph generation strategy in the bipartite drug-disease association graph, while utilizing a graph diffusion process to capture long-range dependencies in drug–drug and disease–disease relation graphs. …”
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