Results 191 to 200 of about 2,452,838 (337)

A Bayesian linear mixed model for prediction of complex traits. [PDF]

Bioinformatics, 2021
Hai Y, Wen Y.
europepmc   +1 more source

Recurrent cancer‐associated ERBB4 mutations are transforming and confer resistance to targeted therapies

Molecular Oncology, EarlyView.
We show that the majority of the 18 analyzed recurrent cancer‐associated ERBB4 mutations are transforming. The most potent mutations are activating, co‐operate with other ERBB receptors, and are sensitive to pan‐ERBB inhibitors. Activating ERBB4 mutations also promote therapy resistance in EGFR‐mutant lung cancer.
Veera K. Ojala, Sini Ahonen, Sara Peltola, Aura Tuohisto‐Kokko, Olaya Esparta, Peppi Suominen, Anne Jokilammi, Iman Farahani, Deepankar Chakroborty, Nikol Dibus, Steffen Boettcher, Tomi T. Airenne, Mark S. Johnson, Lisa D. Eli, Klaus Elenius, Kari J. Kurppa   +15 more
wiley   +1 more source

Multi-environment trials data analysis: linear mixed model-based approaches using spatial and factor analytic models. [PDF]

Front Res Metr Anal
Argaw T, Fenta BA, Zegeye H, Azmach G, Funga A.   +4 more
europepmc   +1 more source

A penalized linear mixed model with generalized method of moments for prediction analysis on high-dimensional multi-omics data. [PDF]

Brief Bioinform, 2022
Wang X, Wen Y.
europepmc   +1 more source

Peroxidasin enables melanoma immune escape by inhibiting natural killer cell cytotoxicity

Molecular Oncology, EarlyView.
Peroxidasin (PXDN) is secreted by melanoma cells and binds the NK cell receptor NKG2D, thereby suppressing NK cell activation and cytotoxicity. PXDN depletion restores NKG2D signaling and enables effective NK cell–mediated melanoma killing. These findings identify PXDN as a previously unrecognized immune evasion factor and a potential target to improve
Hsu‐Min Sung, David Bickel, Lena C. M. Krause, Daria Ezeriņa, Christian Ickes, Julian Wojtachnia, Christine S. Gibhardt, Magdalena Shumanska, Khadija Wahni, Andrea Paluschkiwitz, Julia Malo Pueyo, Ekaterina Baranova, Wim Vranken, Hedwig Stanisz, Ioana Stejerean‐Todoran, Michael P. Schön, Joris Messens, Ivan Bogeski   +17 more
wiley   +1 more source

Ipsilateral Aorto-Iliac Calcification is Not Directly Associated With eGFR After Kidney Transplantation: A Prospective Cohort Study Analyzed Using a Linear Mixed Model. [PDF]

Transpl Int, 2023
Rijkse E, Roodnat JI, Baart SJ, Bijdevaate DC, Dijkshoorn ML, Kimenai HJAN, van de Wetering J, IJzermans JNM, Minnee RC.   +8 more
europepmc   +1 more source

Cluster and regional level variation of hemoglobin concentration of ever-married women in Bangladesh: a linear mixed model approach

, 2023
Md Atiqul Islam, Ruhul Amin, Abdullah Islam, Rukhsana Ferdous, Luthful Alahi Kawsar   +4 more
openalex   +1 more source

Crucial parameters for precise copy number variation detection in formalin‐fixed paraffin‐embedded solid cancer samples

Molecular Oncology, EarlyView.
This study shows that copy number variations (CNVs) can be reliably detected in formalin‐fixed paraffin‐embedded (FFPE) solid cancer samples using ultra‐low‐pass whole‐genome sequencing, provided that key (pre)‐analytical parameters are optimized.
Hanne Goris, Vasiliki Siozopoulou, Léon C van Kempen, Anne Sieben, Ella Roelant, Stig Hellemans, Elyne Backx, Laure Sorber, Koen De Winne, Senada Koljenović, Karen Zwaenepoel   +10 more
wiley   +1 more source

Acetyl-L-Carnitine as an Add-On Treatment in Fibromyalgia Syndrome: A Retrospective Analysis on 183 Patients, According to the Generalized Linear Mixed Model for Longitudinal Data. [PDF]

Biomedicines
Schweiger V, Villagrossi L, Taus F, Gottin L, Bonora E, Anderloni M, Varrassi G, Polati L, Nizzero M, Martini A, Polati E.   +10 more
europepmc   +1 more source

A power approximation for the Kenward and Roger Wald test in the linear mixed model. [PDF]

PLoS One, 2021
Kreidler SM, Ringham BM, Muller KE, Glueck DH.   +3 more
europepmc   +1 more source