Results 101 to 110 of about 2,914,956 (301)
Profile empirical likelihood for parametric and semiparametric models
Profile likelihood, empirical likelihood, efficiency, parametric and semiparametric models,
Lixing Zhu, Lu Lin, K. Yuen
core +1 more source
Profile likelihood confidence intervals.
, 2022 Confidence intervals are constructed by fixing one parameter and inferring all others over a range of values. Each row corresponds to a different experimental design.
Mitchel J. Colebank (7390403) +1 more
core +1 more source
A context‐dependent modulatory role for eIF6 in acquired resistance to vemurafenib in melanoma
FEBS Letters, EarlyView.Acquired resistance to vemurafenib upregulates the translation factor eIF6 in melanoma cells. Silencing eIF6 in resistant cells reduces proliferation and partially restores drug sensitivity, whereas its overexpression increases sensitivity across melanoma lines regardless of BRAF status, via modulation of mTOR, S6K, and MAPK signaling.
George Kyriakopoulos +9 more
wiley +1 more source
To profile or to marginalize - A SMEFT case study
SciPost PhysicsGlobal SMEFT analyses have become a key interpretation framework for LHC physics, quantifying how well a large set of kinematic measurements agrees with the Standard Model. This agreement is encoded in measured Wilson coefficients and their uncertainties.
Ilaria Brivio, Sebastian Bruggisser, Nina Elmer, Emma Geoffray, Michel Luchmann, Tilman Plehn
doaj +1 more source
Appendix A. Developing an efficient sampling algorithm for bivariate profile likelihood.
, 2016 Developing an efficient sampling algorithm for bivariate profile ...
André E. Punt (409844) +3 more
core +1 more source
Metastatic niche shaped by host factors influences disseminated cancer cell fate
FEBS Letters, EarlyView.Metastasis is shaped not only by cancer cells but also by the environments they encounter. This review explores how factors such as aging, diet, the microbiome, lifestyle, and environmental exposures remodel organ‐specific niches in the lung, liver, bone, and brain, influencing where metastatic cells survive, remain dormant, or grow, and ultimately ...
Gwennan Delyth Ward +2 more
wiley +1 more source
Efficiency of profile likelihood in semi-parametric models
Semi-parametric model, Profile likelihood, Two-phase outcome-dependent sampling, Efficiency, M-estimator, Maximum likelihood estimator, Efficient score, Efficient information bound,
Yuichi Hirose
core +1 more source
DNA ligase LigE increases bacterial transformation with damaged extracellular DNA
FEBS Letters, EarlyView.The DNA ligase LigE from the naturally competent Gram‐negative bacterium Neisseria gonorrhoaea increases transformation with cut extracellular DNA. This process is ATP‐dependent and relies on the catalytic activity of LigE; it also requires that LigE contains an intact periplasmic localisation sequence, indicating that ligE functions in the periplasm ...
Jolyn Pan +4 more
wiley +1 more source
Classifying Job Value Profiles and Employment Outcomes Among Culinary Arts Graduates
SocietiesThe job values of college graduates are rapidly changing, but a mismatch between industry expectations and young chefs’ values has emerged. To capture the heterogeneity in job values that traditional variable-centered approaches may overlook, this study ...
Tae-Kyun Na, Saem Han
doaj +1 more source
FEBS Letters, EarlyView.Vacuolar H+‐ATPase (V‐ATPase) is a multisubunit rotary proton pump that acidifies intracellular compartments. Using elastic network models, we identified conserved hinge residues that govern its large‐scale functional motions. We show that intrinsically encoded ‘soft modes’ drive critical functional transitions, including rotary catalysis and ...
Diksha Parwana +3 more
wiley +1 more source