Aleksandar Poleksić

The paper introduces a computational method to identify drug repositioning candidates by overcoming biomedical network sparseness using compressed sensing.

The paper demonstrates that hyperbolic matrix factorization improves biological relationship inference and reduces latent dimensions compared to Euclidean methods.