Evaluation of alternative methods for estimating the precision of REML-based estimates of variance components and heritability. [PDF]
Rameez R +5 more
europepmc +1 more source
Mechanisms of parasite‐mediated disruption of brain vessels
Parasites can affect the blood vessels of the brain, often causing serious neurological problems. This review explains how different parasites interact with and disrupt these vessels, what this means for brain health, and why these processes matter. Understanding these mechanisms may help us develop better ways to prevent or treat brain infections in ...
Leonor Loira +3 more
wiley +1 more source
On the estimation of genetic parameters via variance components
Schneeberger M, Hagger C, Dempfle L
doaj +1 more source
Time after time – circadian clocks through the lens of oscillator theory
Oscillator theory bridges physics and circadian biology. Damped oscillators require external drivers, while limit cycles emerge from delayed feedback and nonlinearities. Coupling enables tissue‐level coherence, and entrainment aligns internal clocks with environmental cues.
Marta del Olmo +2 more
wiley +1 more source
Application of variance components to the identification of determinants of modern contraceptive use in the Tanzania demographic and health survey data. [PDF]
Donni OS, Bishanga DR, Mbalawata IS.
europepmc +1 more source
Intrinsic negative variance components: case of non-normal functions of random variables
Siew Ronian
openalex +1 more source
Multiple ETS family transcription factors bind mutant p53 via distinct interaction regions
Mutant p53 gain‐of‐function is thought to be mediated by interaction with other transcription factors. We identify multiple ETS transcription factors that can bind mutant p53 and found that this interaction can be promoted by a PXXPP motif. ETS proteins that strongly bound mutant p53 were upregulated in ovarian cancer compared to ETS proteins that ...
Stephanie A. Metcalf +6 more
wiley +1 more source
Estimates of Variance Components and Heritability Using Random Regression Models for Semen Traits in Boars. [PDF]
Hong Y +8 more
europepmc +1 more source

