In this paper, we propose a novel integrated framework for cancer clustering known as the non-negative symmetric low-rank representation with graph regularization based on score function (NSLRG-S).

Predicting potential drug-disease associations (RDAs) plays a pivotal role in elucidating therapeutic strategies for diseases and facilitating drug repositioning, making it of paramount importance.

Hard negative mining has shown effective in enhancing self-supervised contrastive learning (CL) on diverse data types, including graph CL (GCL). The existing hardness-aware CL methods typically treat ...

Nicoleta Breaz, Rabha M. El-Ashwah, Quasi-Hadamard product of some uniformly analytic and p-valent functions with negative coefficients, Carpathian Journal of Mathematics, Vol. 30, No. 1 (2014), pp.

Every nonconstant meromorphic function in the plane univalently covers spherical discs of radii arbitrarily close to arctan $\sqrt 8 \approx$ 70 ⚬ 32'. If in addition all critical points of the ...