Results 231 to 240 of about 2,535,217 (348)

Forecasting Count Data With Varying Dispersion: A Latent‐Variable Approach

Journal of Forecasting, Volume 45, Issue 4, Page 1985-2000, July 2026.
ABSTRACT Count data, such as product sales and disease case counts, are common in business forecasting and many areas of science. Although the Poisson distribution is the best known model for such data, its use is severely limited by its assumption that the dispersion is a fixed function of the mean, which rarely holds in real‐world scenarios.
Easton Huch, Candace Berrett, Mason Ferlic, Kimberly F. Sellers   +3 more
wiley   +1 more source

Analyzing Single Cell RNA Sequencing with Topological Nonnegative Matrix Factorization. [PDF]

J Comput Appl Math
Hozumi Y, Wei GW.
europepmc   +1 more source

NITUMID: Nonnegative matrix factorization-based Immune-TUmor MIcroenvironment Deconvolution. [PDF]

Bioinformatics, 2020
Tang D, Park S, Zhao H.
europepmc   +1 more source

Forecasting House Prices: The Role of Market Interconnectedness

Journal of Forecasting, Volume 45, Issue 4, Page 1847-1877, July 2026.
ABSTRACT While the existing research uncovers interconnections between various housing markets, it largely ignores the question of whether such linkages can improve house price predictions. To address this issue, we proceed in two steps. First, we forecast disaggregated house price growth rates from Australia and China to determine whether ...
Zac Chen, George Milunovich, Shuping Shi, Ben Wang   +3 more
wiley   +1 more source

Extended nonnegative matrix factorization for dynamic functional connectivity analysis of fMRI data. [PDF]

Cogn Neurodyn
Long Z, Xu Y, Zou W, Duan Y, Yao L.
europepmc   +1 more source

Graph regularized L_2,1-nonnegative matrix factorization for miRNA-disease association prediction. [PDF]

BMC Bioinformatics, 2020
Gao Z, Wang YT, Wu QW, Ni JC, Zheng CH.
europepmc   +1 more source

Nonnegative Matrix Factorization

, 2020
Nicolas Gillis
semanticscholar   +1 more source

Advances in Nonnegative Matrix and Tensor Factorization

Computational Intelligence and Neuroscience, 2008
Andrzej Cichocki, Morten Mørup, Paris Smaragdis, Wenwu Wang 0001, Rafal Zdunek   +4 more
openaire   +4 more sources

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