Results 121 to 130 of about 575,678 (274)

Analyzing Decision-Making in Cognitive Agent Simulations Using Generalized Linear Mixed-Effects Models

Mathematics
Enhancing model interpretability remains an ongoing challenge in predictive modelling, especially when applied to simulation data from complex systems.
Shengkun Xie, Chong Gan, Anna T. Lawniczak   +2 more
doaj   +1 more source

Solving Sequences of Generalized Least-Squares Problems on Multi-threaded Architectures

, 2012
Generalized linear mixed-effects models in the context of genome-wide association studies (GWAS) represent a formidable computational challenge: the solution of millions of correlated generalized least-squares problems, and the processing of terabytes of
Aulchenko, Yurii, Bientinesi, Paolo, Fabregat-Traver, Diego   +2 more
core  

Elevated Connectivity During Language Processing Is Associated With Cognitive Performance in SeLECTS

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Self‐Limited Epilepsy with Centrotemporal Spikes (SeLECTS) is associated with language impairments despite seizures originating in the motor cortex, suggesting aberrant cross‐network interactions. Here we tested whether functional connectivity in SeLECTS during language tasks predicts language performance.
Wendy Qi, Katharine Lee, Kerry C. Nix, Miguel Menchaca, Xiwei Shé, Lorelei Santa Maria, Wei Wu, Zihuai He, Fiona M. Baumer   +8 more
wiley   +1 more source

ALDOA Promotes Glycolysis and NLRP3/GSDMD Pyroptosis to Accelerate ALS Progression

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Amyotrophic lateral sclerosis (ALS) is characterized by progressive motor neuron degeneration. Glycolytic dysregulation is implicated in disease progression, yet the underlying mechanisms remain unclear. This study investigates how Aldolase A (ALDOA) drives ALS progression through glycolysis‐mediated motor neuron pyroptosis.
Kaixin Yan, Yan Jiang, Yuxuan Yong, Tianshuo Zhang, Niannian Zhang, Qianqian Zeng, Xue Gong, Li Meng, Fangfang Bi, Yongmin Liu   +9 more
wiley   +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

Prognostic Value of Neurofilament Light Chain and Glial Fibrillary Acidic Protein in ALD‐Related Myelopathy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background X‐linked adrenoleukodystrophy (X‐ALD) is a neurometabolic disorder caused by pathogenic variants in ABCD1, leading to slowly progressive spinal cord disease in nearly all affected men. Sensitive biomarkers to quantify disease severity and predict progression are needed for clinical care and trial design.
Eda G. Kabak, Marije M. C. Voermans, Hans Heijst, Charlotte E. Teunissen, Marc Engelen   +4 more
wiley   +1 more source

Holistic Generalized Linear Models

Journal of Statistical Software
Holistic linear regression extends the classical best subset selection problem by adding additional constraints designed to improve the model quality.
Benjamin Schwendinger, Florian Schwendinger, Laura Vana   +2 more
doaj   +1 more source

Analyzing dynamic species abundance distributions using generalized linear mixed models. [PDF]

Ecology, 2022
Solbu EB, van der Veen B, Herfindal I, Hovstad KA.   +3 more
europepmc   +1 more source

Ofatumumab in Myelin Oligodendrocyte Glycoprotein Antibody–Associated Disease: A Comparison With Rituximab

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To evaluate the efficacy and safety of ofatumumab in patients with myelin oligodendrocyte glycoprotein antibody–associated disease (MOGAD), and compare it with rituximab. Methods We conducted a single–center, observational study including 22 MOGAD patients treated with ofatumumab and 21 treated with rituximab.
Yuxin Fan, Lei Zhou, Jingzi ZhangBao, Hongmei Tan, Zhouzhou Wang, Chao Quan   +5 more
wiley   +1 more source

Efficient penalized generalized linear mixed models for variable selection and genetic risk prediction in high-dimensional data. [PDF]

Bioinformatics, 2023
St-Pierre J, Oualkacha K, Bhatnagar SR.
europepmc   +1 more source