Results 151 to 160 of about 1,828,929 (311)

The Essentials on Linear Regression, ANOVA, General Linear and Linear Mixed Models for the Chemist

, 2020
Bernadette Govaerts, Bernard Francq, Rebecca Marion, Manon Martin, Michel Thiel   +4 more
openalex   +2 more sources

Next‐generation proteomics improves lung cancer risk prediction

Molecular Oncology, EarlyView.
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, Clara Frick, Ben Schöttker, Bernd Holleczek, Hermann Brenner   +4 more
wiley   +1 more source

A Dirichlet-multinomial mixed model for determining differential abundance of mutational signatures. [PDF]

BMC Bioinformatics
Morrill Gavarró L, Couturier DL, Markowetz F.   +2 more
europepmc   +2 more sources

Nonlinear mixed-modelling discriminates the effect of chemicals and their mixtures on zebrafish behavior

, 2018
P. Gauthier, Mathilakath M. Vijayan
openalex   +1 more source

Tu1947 IMPACT OF A CHILDCARE CENTER-BASED OBESITY PREVENTION PROGRAM ON NUTRITION AND PHYSICAL ACTIVITY OUTCOMES: UTILIZATION OF A BIVARIATE MIXED EFFECT MODEL APPROACH [PDF]

, 2020
Ngum Kikah Atem, Kimbong Agyingi, Ruby Natale, Sitara M. Weerakoon, Folefac Atem, M. Sunil Mathew, Sarah Messiah   +6 more
openalex   +1 more source

LINC01116, a hypoxia‐lncRNA marker of pathological lymphangiogenesis and poor prognosis in lung adenocarcinoma

Molecular Oncology, EarlyView.
The LINC01116 long noncoding RNA is induced by hypoxia and associated with poor prognosis and high recurrence rates in two cohorts of lung adenocarcinoma patients. Here, we demonstrate that besides its expression in cancer cells, LINC01116 is markedly expressed in lymphatic endothelial cells of the tumor stroma in which it participates in hypoxia ...
Marine Gautier‐Isola, Rafael Lopes Goncalves, Marin Truchi, Caroline Lacoux, Célia Scribe, Hugo Cadis, Laetitia Guardini, Sophie Bekisz, Marius Ilié, Paul Hofman, Georges Vassaux, Bernard Mari, Roger Rezzonico   +12 more
wiley   +1 more source

Applying binary mixed model to predict knee osteoarthritis pain. [PDF]

PLoS One
El-Zaatari H, Arbeeva L, Nelson AE.
europepmc   +1 more source

Developing evidence‐based, cost‐effective P4 cancer medicine for driving innovation in prevention, therapeutics, patient care and reducing healthcare inequalities

Molecular Oncology, EarlyView.
The cancer problem is increasing globally with projections up to the year 2050 showing unfavourable outcomes in terms of incidence and cancer‐related deaths. The main challenges are prevention, improved therapeutics resulting in increased cure rates and enhanced health‐related quality of life.
Ulrik Ringborg, Joachim von Braun, Julio Celis, Anton Berns, Michael Baumann, Tit Albreht, Nancy Abou‐Zeid, Vanderlei Bagnato, Christian Brandts, Chien‐Jen Chen, Massimiliano di Pietro, Manjit Dosanjh, Thomas Dubois, Alexander Eggermont, Angelika Eggert, Ingemar Ernberg, Sara Faithfull, Johannes Förner, Stefan Fröhling, Manuel Heitor, Leroy Hood, Wei Jiang, Bengt Jönsson, Ravi Kannan, Maria Leptin, Su Li, Peter Lindgren, Douglas Lowy, Jun Ma, Alex Markham, Péter Nagy, Simon Oberst, M. Iqbal Parker, Danielle Rodin, Kevin Ryan, Joachim Schüz, Richard Sullivan, Josep Tabernero, Peter Turkson, Oliver Várhelyi, Harold Varmus, Chijie Wang, Elisabete Weiderpass, Nils Wilking   +43 more
wiley   +1 more source

The impact of demographic characteristics on health literacy in the population: a mixed model analysis based on panel survey data from China. [PDF]

BMC Public Health
Li R, Xu X, Gong L, Li T, Deng F, Leng Y, Liu W, Gao S, Chen F, Wang L, Han J.   +10 more
europepmc   +1 more source

Cell surface interactome analysis identifies TSPAN4 as a negative regulator of PD‐L1 in melanoma

Molecular Oncology, EarlyView.
Using cell surface proximity biotinylation, we identified tetraspanin TSPAN4 within the PD‐L1 interactome of melanoma cells. TSPAN4 negatively regulates PD‐L1 expression and lateral mobility by limiting its interaction with CMTM6 and promoting PD‐L1 degradation.
Guus A. Franken, Andrea Abel Gutierrez, Imke van Rossum, Cornelia G. Spruijt, Michiel Vermeulen, Guido van Mierlo, Blanca Scheijen, Annemiek B. van Spriel   +7 more
wiley   +1 more source