#6005. GNE: A deep learning framework for gene network inference by aggregating biological information

August 2026publication date
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Journal’s subject area:
Biology
Engineering
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Abstract:
Background: The topological landscape of gene interaction networks provides a rich source of information for inferring functional patterns of genes or proteins. However, it is still a challenging task to aggregate heterogeneous biological information such as gene expression and gene interactions to achieve more accurate inference for prediction and discovery of new gene interactions. In particular, how to generate a unified vector representation to integrate diverse input data is a key challenge addressed here.
Keywords:
Deep learning; Gene expression; Gene interaction networks; Heterogeneous data integration; Network embedding

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