Results 161 to 170 of about 1,982,495 (283)
Pre‐analytical handling critically determines liquid biopsy performance. This study defines practical best‐practice conditions for cell‐free DNA (cfDNA) and extracellular vesicle–derived DNA (evDNA), showing how processing time, storage conditions, tube type, and plasma input volume affect DNA integrity and mutation detection.
Jonas Dohmen +11 more
wiley +1 more source
Inferential procedures for random effects in generalized linear mixed models. [PDF]
Ning X, Hui FKC, Welsh A.
europepmc +1 more source
Bayesian Analysis of Tweedie Compound Poisson Partial Linear Mixed Models with Nonignorable Missing Response and Covariates. [PDF]
Wu Z, Duan X, Zhang W.
europepmc +1 more source
Loss of the miR‐214/199a cluster is associated with recurrence in ovarian cancer. Engineered small extracellular vesicles (m214‐sEVs) elevate miR‐214‐3p/miR‐199a‐5p in tumor cells, suppress β‐catenin, TLR4, and YKT6 signaling, reprogram tumor‐derived sEV cargo, reduce chemoresistance and migration, and enhance carboplatin efficacy and survival in ...
Weida Wang +12 more
wiley +1 more source
Monte Carlo approximation of the logarithm of the determinant of large matrices with applications for linear mixed models in quantitative genetics. [PDF]
Bermann M +5 more
europepmc +1 more source
REHE: Fast variance components estimation for linear mixed models. [PDF]
Yue K, Ma J, Thornton T, Shojaie A.
europepmc +1 more source
Keratin 19 (KRT19) is overexpressed in high‐grade serous ovarian cancer with high levels of Kallikrein‐related peptidases (KLK) 4–7 and is associated with poor survival. In vivo analyses demonstrate that elevated KRT19 increases peritoneal tumour burden.
Sophia Bielesch +13 more
wiley +1 more source
Bayesian compositional generalized linear mixed models for disease prediction using microbiome data. [PDF]
Zhang L +5 more
europepmc +1 more source
Dissecting Complex Traits Using Omics Data: A Review on the Linear Mixed Models and Their Application in GWAS. [PDF]
Alamin M +4 more
europepmc +1 more source
Somatic mutational landscape in von Hippel–Lindau familial hemangioblastoma
The causes of central nervous system (CNS) hemangioblastoma in Von Hippel–Lindau (vHL) disease are unclear. We used Whole Exome Sequencing (WES) on familial hemangioblastoma to investigate events that underlie tumor development. Our findings suggest that VHL loss creates a permissive environment for tumor formation, while additional alterations ...
Maja Dembic +5 more
wiley +1 more source

