Results 161 to 170 of about 7,174 (250)

Multilayer nonnegative matrix factorization

, 2006
: A multilayer approach to Nonnegative Matrix Factorization (NMF) algorithms is proposed. It considerably improves their performance; especially if a problem is ill-conditioned, or data are badly-scaled, and projected gradient algorithms are used.
R. Zdunek, A. Cichocki
core  

Unraveling the spatial landscape of dystrophinopathies: a transcriptomic approach to Becker and Duchenne muscular dystrophies

The Journal of Pathology, Volume 269, Issue 3, Page 363-380, July 2026.
Abstract Dystrophinopathies are caused by pathogenic variants in the DMD gene, resulting in partial (Becker) or complete loss (Duchenne) of dystrophin. Becker (BMD) and Duchenne muscular dystrophy (DMD) are characterized by progressive muscle wasting, fatty replacement, fibrosis, and loss of function.
Laura GM Heezen, Qirong Mao, Stefan Nicolau, Claudio Novella Rausell, Julia van der Weerd, Jan Kueckelhaus, Rasya Gokul Nath, Jordi Diaz‐Manera, Hermien E Kan, Erik H Niks, Maaike van Putten, Annemieke Aartsma‐Rus, Kevin M Flanigan, Ahmed Mahfouz, Pietro Spitali   +14 more
wiley   +1 more source

Topology constrained nonnegative matrix factorization for time varying omic expression. [PDF]

Sci Rep
Dey A, Sharma KD, Chatterjee A, Bhattacharjee P.   +3 more
europepmc   +1 more source

Sections and projections of the outer and inner regularizations of a convex body

Mathematika, Volume 72, Issue 3, July 2026.
Abstract We establish new geometric inequalities comparing the volumes of sections and projections of a convex body, whose barycenter or Santaló point is at the origin, with those of its inner and outer regularizations. We also provide functional extensions of these inequalities to the setting of log‐concave functions. Our approach relies on the recent
Natalia Tziotziou
wiley   +1 more source

Recovering missing features in nonnegative matrix factorization via generalized singular value decomposition. [PDF]

iScience
Guo Y, Holy TE.
europepmc   +1 more source

A multilevel approach for nonnegative matrix factorization [PDF]

Nonnegative Matrix Factorization (NMF) is the problem of approximating a nonnegative matrix with the product of two low-rank nonnegative matrices and has been shown to be particularly useful in many applications, e.g., in text mining, image processing ...
GILLIS, Nicolas, GLINEUR, François
core  

Graph‐based imitation and reinforcement learning for efficient Benders decomposition

AIChE Journal, Volume 72, Issue 6, June 2026.
Abstract This work introduces an end‐to‐end graph‐based agent for accelerating the computational efficiency of Benders Decomposition. The agent's policy is parameterized by a graph neural network, which takes as input a bipartite graph representation of the master problem and proposes a candidate solution.
Bernard T. Agyeman, Zhe Li, Ilias Mitrai, Prodromos Daoutidis   +3 more
wiley   +1 more source

Neighborhood nonnegative matrix factorization identifies patterns and spatially-variable genes in large-scale spatial transcriptomics data. [PDF]

Genome Biol
Laursen R, Chen H, Demaray J, Pelka K, Engelhardt BE.   +4 more
europepmc   +1 more source

HPV‐Adjusted Feature Screening With FDR Control in Head and Neck Cancer

Biometrical Journal, Volume 68, Issue 3, June 2026.
ABSTRACT Human papillomavirus (HPV) is a well‐established prognostic factor in head and neck (HN) cancer, with HPV‐positive patients exhibiting markedly better survival outcomes compared to their HPV‐negative counterparts. While advances in (cancer) genomics have been pivotal to precision medicine, existing gene screening methods for identifying ...
Atika Farzana Urmi, Chenlu Ke, Dipankar Bandyopadhyay   +2 more
wiley   +1 more source

Joint similarity nonnegative matrix factorization model for identification of recurrence-related association patterns in tumor. [PDF]

Brief Bioinform
Deng J, Lan J, Du R, Xu T, Huang K, Liu L, Chen L, Zhang Y.   +7 more
europepmc   +1 more source