Results 151 to 160 of about 1,982,495 (283)

Incorporating Linear Mixed Models into GWAS of Kidney Function Decline.

J Am Soc Nephrol, 2023
Lanktree MB.
europepmc   +1 more source

BG2: Bayesian variable selection in generalized linear mixed models with nonlocal priors for non-Gaussian GWAS data. [PDF]

BMC Bioinformatics, 2023
Xu S, Williams J, Ferreira MAR.
europepmc   +1 more source

Targeted modulation of IGFL2‐AS1 reveals its translational potential in cervical adenocarcinoma

Molecular Oncology, EarlyView.
Cervical adenocarcinoma patients face worse outcomes than squamous cell carcinoma counterparts despite similar treatment. The identification of IGFL2‐AS1's differential expression provides a molecular basis for distinguishing these histotypes, paving the way for personalized therapies and improved survival in vulnerable populations globally.
Ricardo Cesar Cintra, Lucca Paolo Hsu Helmich, Daniel Rodrigues de Bastos, Laura Sichero, Patrícia Savio de Araujo‐Souza, Fabio Passetti, Luisa Lina Villa   +6 more
wiley   +1 more source

Normative Data for Learning and Memory Test (TAMV-I) in Latin American and Spanish Children: An item response theory and linear mixed models approach. [PDF]

PLoS One
Fuentes Mendoza EM, Olabarrieta-Landa L, Rodríguez-Lorenzana A, Mascialino G, Vergara-Moragues E, de Los Reyes-Aragón CJ, Albaladejo-Blázquez N, Cadavid-Ruiz N, Irias Escher MJ, Arango-Lasprilla JC, Orozco-Acosta E, Rivera D.   +11 more
europepmc   +1 more source

Inference of differentially expressed genes using generalized linear mixed models in a pairwise fashion. [PDF]

PeerJ, 2023
Terra Machado D, Bernardes Brustolini OJ, Côrtes Martins Y, Grivet Mattoso Maia MA, Ribeiro de Vasconcelos AT.   +4 more
europepmc   +1 more source

RIPK4 function interferes with melanoma cell adhesion and metastasis

Molecular Oncology, EarlyView.
RIPK4 promotes melanoma growth and spread. RIPK4 levels increase as skin lesions progress to melanoma. CRISPR/Cas9‐mediated deletion of RIPK4 causes melanoma cells to form less compact spheroids, reduces their migratory and invasive abilities and limits tumour growth and dissemination in mouse models.
Norbert Wronski, Sławomir Lasota, Ewelina Madej, Anna A. Brożyna, Małgorzata Szczygieł, Agnieszka Harazin‐Lechowska, Jan Czerbniak, Janusz Rys, Jaroslaw Czyz, Agnieszka Wolnicka‐Glubisz   +9 more
wiley   +1 more source

BGWAS: Bayesian variable selection in linear mixed models with nonlocal priors for genome-wide association studies. [PDF]

BMC Bioinformatics, 2023
Williams J, Xu S, Ferreira MAR.
europepmc   +1 more source

COMP–PMEPA1 axis promotes epithelial‐to‐mesenchymal transition in breast cancer cells

Molecular Oncology, EarlyView.
This study reveals that cartilage oligomeric matrix protein (COMP) promotes epithelial‐to‐mesenchymal transition (EMT) in breast cancer. We identify PMEPA1 (protein TMEPAI) as a novel COMP‐binding partner that mediates EMT via binding to the TSP domains of COMP, establishing the COMP–PMEPA1 axis as a key EMT driver in breast cancer.
Konstantinos S. Papadakos, Gilar Gorji‐bahri, Lejla Gradjan, Julia Zajac, Kacper Gil, Yvonne Thokozile Nduku, Anna M. Blom   +6 more
wiley   +1 more source

Power and sample size for reversible linear mixed models with clustering and longitudinality: GLIMMPSE Version 3. [PDF]

PLoS One
Glueck DH, Li Q, Macleod AJ, Litkowski EM, Yang X, Bian J, Ritzhaupt AD, Sommer M, Valle N, Shaw JR, Muller KE.   +10 more
europepmc   +1 more source

Streamlined Variational Inference for Linear Mixed Models with Crossed Random Effects. [PDF]

J Comput Graph Stat, 2023
Menictas M, Di Credico G, Wand MP.
europepmc   +1 more source