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).

Coefficient, distortion, covering, and coefficient inequalities are determined for univalent functions with negative coefficients that are starlike of order α and convex of order α. Extreme points for ...

HERB SILVERMAN, A SURVEY WITH OPEN PROBLEMS ON UNIVALENT FUNCTIONS WHOSE COEFFICIENTS ARE NEGATIVE, The Rocky Mountain Journal of Mathematics, Vol. 21, No. 3 (SUMMER 1991), pp. 1099-1125 ...

Graph learning-based multi-modal integration and classification is one of the most challenging tasks for disease prediction. To effectively offset the negative impact among modalities in the process ...