Results 41 to 50 of about 1,628,183 (185)

Robust Semisupervised Nonnegative Local Coordinate Factorization for Data Representation

Complexity, 2018
Obtaining an optimum data representation is a challenging issue that arises in many intellectual data processing techniques such as data mining, pattern recognition, and gene clustering.
Wei Jiang, Qian Lv, Chenggang Yan, Kewei Tang, Jie Zhang   +4 more
doaj   +1 more source

Single‐Cell Transcriptomic Identification of Drug‐Tolerant Persister Mechanisms in Capecitabine‐Treated Triple‐Negative Breast Cancer

Computational and Systems Oncology, Volume 6, Issue 1, December 2026.
ABSTRACT Triple‐negative breast cancer (TNBC) is an aggressive subtype defined by the absence of estrogen receptor (ER), progesterone receptor (PR), and HER2 expression. This lack of receptors limits targeted therapies and contributes to high rates of recurrence.
Md Naiyem Islam, Md Kaziul Islam Sarkar Suja, Alif Al Takbir, Md. Kaderi Kibria   +3 more
wiley   +1 more source

Schematic overview of the nonnegative matrix factorization (NMF) algorithm.

, 2023
Schematic overview of the nonnegative matrix factorization (NMF) algorithm.
Chaur-Jong Hu (125228), Chih-Yang Yeh (6736199), Truc Tran Thanh Nguyen (17102808), Hsun-Hua Lee (5466971), Li-Kai Huang (9513864), Wei-Chung Vivian Yang (2063686), Ming-Chin Lin (6736202)   +6 more
core   +1 more source

Adaptive Graph Regularization Discriminant Nonnegative Matrix Factorization for Data Representation

IEEE Access, 2019
Nonnegative matrix factorization, as a classical part-based representation method, has been widely used in pattern recognition, data mining and other fields.
Lin Zhang, Zhonghua Liu, Lin Wang, Jiexin Pu   +3 more
doaj   +1 more source

Multimodal Data‐Driven Microstructure Characterization

Advanced Engineering Materials, Volume 28, Issue 17, 9 September 2026.
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang, Santiago Benito, Özge Özgün, Sebastian Weber, Markus Stricker   +4 more
wiley   +1 more source

Simultaneous non-negative matrix factorization for multiple large scale gene expression datasets in toxicology [PDF]

, 2012
Non-negative matrix factorization is a useful tool for reducing the dimension of large datasets. This work considers simultaneous non-negative matrix factorization of multiple sources of data.
Clare M. Lee, Vass J. Keith, D R Haggart, Lee Clare M., Mudaliar, MAV, Higham, Desmond, Vass, D.J., Manikhandan A V Mudaliar, Gino Miele, Mudaliar, Manikhandan A.V., Haggart, D. R., Mudaliar, M.A.V., Higham, Desmond J., Haggart D. R., Crowther, Daniel, D. R. Haggart, Lee, C.M., Lee, Clare M., Mudaliar Manikhandan A. V., J Keith Vass, Higham Desmond J., Wolf, C.R., Higham, D.J., Wolf C. Roland, Miele Gino, Mudaliar, Manikhandan A. V., Miele, Geno, Desmond J Higham, Clare M Lee, C. Roland Wolf, Miele, G., Manikhandan A. V. Mudaliar, C Roland Wolf, Crowther Daniel, Vass, J.K., Miele, Gino, J. Keith Vass, Crowther, D., Crowther, Daniel; id_orcid, Daniel Crowther, Vass, J. Keith, Desmond J. Higham, Haggart, D.R., Wolf, C. Roland, Lee, Clare   +44 more
core   +1 more source

A flexible R package for nonnegative matrix factorization

BMC Bioinformatics, 2010
Background Nonnegative Matrix Factorization (NMF) is an unsupervised learning technique that has been applied successfully in several fields, including signal processing, face recognition and text mining. Recent applications of NMF in bioinformatics have
Seoighe Cathal, Gaujoux Renaud
doaj   +1 more source

Constrained Nonnegative Matrix Factorization for Blind Hyperspectral Unmixing Incorporating Endmember Independence

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Hyperspectral unmixing (HU) has become an important technique in exploiting hyperspectral data since it decomposes a mixed pixel into a collection of endmembers weighted by fractional abundances.
E. M. M. B. Ekanayake, H. M. H. K. Weerasooriya, D. Y. L. Ranasinghe, S. Herath, B. Rathnayake, G. M. R. I. Godaliyadda, M. P. B. Ekanayake, H. M. V. R. Herath   +7 more
doaj   +1 more source

Single‐Cell Profiling Reveals Distinct Immune Hallmarks in Untreated Primary Colorectal and Liver Metastasis Cancers

Chronic Diseases and Translational Medicine, Volume 12, Issue 3, Page 197-208, September 2026.
Features the major cell type compositions among colon and liver metastasis. (A) The study design for single‐cell data analysis. (B) The annotated major cell types. Each type was labeled with a special color. (C) Dot plot of canonical marker genes for major cell types. (D) Bar plot of the percentage for each cell type in individuals. (E) Bar plot of the
Zhixun Zhao, Haipeng Chen, Xu Guan, Zheng Jiang, Zheng Liu, Ming Yang, Hengchang Liu, Tianli Chen, Shuangmei Zou, Yibo Gao, Xishan Wang   +10 more
wiley   +1 more source

Multiple Graph Adaptive Regularized Semi-Supervised Nonnegative Matrix Factorization with Sparse Constraint for Data Representation

, 2022
Multiple graph and semi-supervision techniques have been successfully introduced into the nonnegative matrix factorization (NMF) model for taking full advantage of the manifold structure and priori information of data to capture excellent low-dimensional
Yi Wang, Wang, Yi, Zhao, Xuezhuan, Lingling Li, Zhang, Ji, Di, Jinhong, Kexin Zhang, Jinhong Di, Xuezhuan Zhao, Zhang, Kexin, Ji Zhang, Li, Lingling   +11 more
core   +1 more source