Results 51 to 60 of about 2,137 (155)

Impact of the Choice of Normalization Method on Molecular Cancer Class Discovery Using Nonnegative Matrix Factorization. [PDF]

PLoS ONE, 2016
Nonnegative Matrix Factorization (NMF) has proved to be an effective method for unsupervised clustering analysis of gene expression data. By the nonnegativity constraint, NMF provides a decomposition of the data matrix into two matrices that have been ...
Haixuan Yang, Cathal Seoighe
doaj   +1 more source

Latent Multi-View Semi-Nonnegative Matrix Factorization with Block Diagonal Constraint

Axioms, 2022
Multi-view clustering algorithms based on matrix factorization have gained enormous development in recent years. Although these algorithms have gained impressive results, they typically neglect the spatial structures that the latent data representation ...
Lin Yuan, Xiaofei Yang, Zhiwei Xing, Yingcang Ma   +3 more
doaj   +1 more source

Niacin promotes motor function recovery after spinal cord injury via Hcar2‐dependent microglia immunometabolic regulation

Clinical and Translational Medicine, Volume 16, Issue 5, May 2026.
• The activation of the microglial Hcar2 receptor by niacin initiates intracellular signalling that induces metabolic reprogramming. • This metabolic shift is characterized by increased oxidative phosphorylation. Consequently, microglia polarize from a proinflammatory state toward an anti‐inflammatory, reparative phenotype.
Hua Du, Lingnian Zeng, Chan Liu, Huyao Zhou, Xia Wang, Qing Ai, Jinpiao Zhu, Nong Xiao   +7 more
wiley   +1 more source

A Bayesian Causal Model for Matrix‐Valued Exposures With Applications to Radiotherapy Planning

Statistics in Medicine, Volume 45, Issue 10-12, May 2026.
ABSTRACT In radiotherapy for cancer, organs surrounding the target tumor, known as organs‐at‐risk (OARs), should be protected from excessive radiation to avoid toxicity. Radiation exposure to multiple OARs can be summarized using matrix‐valued dose‐volume histograms (DVH), and understanding the causal relationship between DVHs and toxicity outcomes can
Zijin Liu, Zhihui (Amy) Liu, Jennifer Dang, Charles Catton, Himanshu R. Lukka, Peter Chung, Olli Saarela   +6 more
wiley   +1 more source

Model-Based Method for Acoustic Echo Cancelation and Near-End Speaker Extraction: Non-negative Matrix Factorization

Journal of Telecommunications and Information Technology, 2018
Rapid escalation of wireless communication and hands-free telephony creates a problem with acoustic echo in full-duplex communication applications. In this paper a simulation of model-based acoustic echo cancelation and near-end speaker extraction using
Pallavi Agrawal, Madhu Shandilya
doaj   +1 more source

Uncovering Immune Niches in Health and Disease Using Spatial Transcriptomics

European Journal of Immunology, Volume 56, Issue 4, April 2026.
Through the lens of spatial transcriptomics and associated tools, novel immune niche constituents can now be resolved. Drawing on gut and tumor contexts, we propose a framework to define immune niches and integrate clonal dynamics, aiming to advance niche‐directed therapies toward precise, context‐specific immune modulation.
Johan Thorsson, Yang Zhao, Eduardo J. Villablanca, Camilla Engblom   +3 more
wiley   +1 more source

High ALG1 Expression Is Correlated With Poor Prognosis and the Immune Microenvironment in Glioma

Journal of Cellular and Molecular Medicine, Volume 30, Issue 8, April 2026.
ABSTRACT Glioma is the most prevalent primary tumour in the central nervous system. This study investigates ALG1 expression in glioma and its clinical significance. Using the TCGA and CGGA databases, a bioinformatics analysis examines ALG1 expression, its prognostic value, and its link to the immune microenvironment. Clinical samples are analysed using
Shuxiang Li, Yang Xia, Qiang Liu, Xin Qian, Anhong Liu, Jia Wang, Xinyu Wang, Di Zuo, Jing Zhang, Jinhai Ma, Peng Gao   +10 more
wiley   +1 more source

Symmetric Nonnegative Matrix Factorization Based on Box-Constrained Half-Quadratic Optimization

IEEE Access, 2020
Nonnegative Matrix Factorization (NMF) based on half-quadratic (HQ) functions was proven effective and robust when dealing with data contaminated by continuous occlusion according to the half-quadratic optimization theory.
Bo-Wei Chen
doaj   +1 more source

Proteogenomic Characterization Reveals Subtype‐Specific Therapeutic Potential for HER2‐Low Breast Cancer

Advanced Science, Volume 13, Issue 12, 27 February 2026.
Multiomic profiling of HER2‐low breast cancer identifies three proteomic subtypes with distinct therapeutic strategies: endocrine, antiangiogenic, and anti‐HER2 therapies. Genomic and lactate modification landscapes are detailed, providing insights for precise management.
Shouping Xu, Keda Yu, Lei Liu, Qin Wang, Xiaohui Wu, Yihai Chen, Guozheng Li, Xin Zhang, Bo Wei, Zitong Fu, Abiyasi Nanding, Zuxianglan Zhao, Lingbing Yang, Xingda Zhang, Jianyu Wang, Wantong Sun, Yi Hao, Zhongyi Cheng, Xiaojiang Cui, Hao Wu, Da Pang   +20 more
wiley   +1 more source

Nonnegative Matrix Factorization (NMF) with Heteroscedastic Uncertainties and Missing data

, 2016
Vectorized update rules for NMF with heteroscedastic measurements and the proof. The code NonnegMFPy is available at https://github.com/guangtunbenzhu/NonnegMFPy and can be installed through PyPI.
openaire   +2 more sources