Results 171 to 180 of about 563,530 (312)
Detecting genetic interactions for quantitative traits with U-statistics. [PDF]
Li M, Ye C, Fu W, Elston RC, Lu Q.
europepmc +1 more source
An estimate on the supremum of a nice class of stochastic integrals and U-statistics [PDF]
Péter Major
openalex +1 more source
The 5th edition of the European Code Against Cancer (ECAC5) contains 14 recommendations on cancer prevention. Here, we update the cancer prevention recommendations regarding the use of hormone replacement therapy (HRT), which is positioned as recommendation number 13 of the ECAC5.
Mangesh A. Thorat +18 more
wiley +1 more source
Scaling-up Empirical Risk Minimization: Optimization of Incomplete\n U-statistics [PDF]
Stéphan Clémençon +2 more
openalex +1 more source
We developed and validated a DNA methylation–based biomarker panel to distinguish pleural mesothelioma from other pleural conditions. Using the IMPRESS technology, we translated this panel into a clinically applicable assay. The resulting two classifier models demonstrated excellent performance, achieving high AUC values and strong diagnostic accuracy.
Janah Vandenhoeck +12 more
wiley +1 more source
We developed a cost‐effective methylation‐specific droplet digital PCR multiplex assay containing tissue‐conserved and tumor‐specific methylation markers. The assay can detect circulating tumor DNA with high accuracy in patients with localized and metastatic colorectal cancer.
Luisa Matos do Canto +8 more
wiley +1 more source
High Dimensional Tests Based on U-Statistics for Generalized Linear Models [PDF]
Gong Zi Jiang Nan
openalex +1 more source
Combining PTEN protein assessment and transcriptomic profiling of prostate tumors, we uncovered a network enriched in senescence and extracellular matrix (ECM) programs associated with PTEN loss and conserved in a mouse model. We show that PTEN‐deficient cells trigger paracrine remodeling of the surrounding stroma and this information could help ...
Ivana Rondon‐Lorefice +16 more
wiley +1 more source
Next‐generation proteomics improves lung cancer risk prediction
This is one of very few studies that used prediagnostic blood samples from participants of two large population‐based cohorts. We identified, evaluated, and validated an innovative protein marker model that outperformed an established risk prediction model and criteria employed by low‐dose computed tomography in lung cancer screening trials.
Megha Bhardwaj +4 more
wiley +1 more source
Asymptotic normality for $m$-dependent and constrained $U$-statistics, with applications to pattern matching in random strings and permutations [PDF]
Svante Janson
openalex +1 more source

