Results 231 to 240 of about 6,852,071 (351)
Analysis of treatment‐naïve high‐grade serous ovarian carcinoma (HGSOC) and control tissues for ERVs, LINE‐1 (L1), inflammation, and immune checkpoints identified five clusters with diverse patient recurrence‐free survivals. An inflammation score was calculated and correlated with retroelement expression, where one novel cluster (Triple‐I) with high ...
Laura Glossner+6 more
wiley +1 more source
Emergence to dominance: Estimating time to dominance of SARS-CoV-2 variants using nonlinear statistical models. [PDF]
Awasthi S, Dehkharghani MZ, Fudolig M.
europepmc +1 more source
Some Statistical Implications of the Log Transformation of Multiplicative Models [PDF]
R. Teekens, J. Koerts
openalex +1 more source
Human cytomegalovirus infection is common in normal prostate epithelium, prostate tumor tissue, and prostate cancer cell lines. CMV promotes cell survival, proliferation, and androgen receptor signaling. Anti‐CMV pharmaceutical compounds in clinical use inhibited cell expansion in prostate cancer models in vitro and in vivo, motivating investigation ...
Johanna Classon+13 more
wiley +1 more source
Associations of urinary caffeine metabolites with sex hormones: comparison of three statistical models. [PDF]
Zhou J, Qin L.
europepmc +1 more source
Machine learning and statistical models for analyzing multilevel patent data. [PDF]
Qi S+7 more
europepmc +1 more source
Modeling natural microimage statistics
A large collection of digital images of natural scenes provides a database for analyzing and modeling small scene patches (e.g., 2 x 2) referred to as natural microimages. A pivotal ¯nding is the stability of the empirical microimage distribution across scene samples and with respect to scaling. With a view toward potential applications (e.g.
openaire +9 more sources
A Modified Statistical Model for Ultra-High Energy Interactions.
R. Settles
openalex +2 more sources
This review highlights how foundation models enhance predictive healthcare by integrating advanced digital twin modeling with multiomics and biomedical data. This approach supports disease management, risk assessment, and personalized medicine, with the goal of optimizing health outcomes through adaptive, interpretable digital simulations, accessible ...
Sakhaa Alsaedi+2 more
wiley +1 more source
A simulation study of the performance of statistical models for count outcomes with excessive zeros. [PDF]
Zhou Z, Li D, Huh D, Xie M, Mun EY.
europepmc +1 more source