Results 151 to 160 of about 70,549 (302)

Optimal Scaling of Interaction Effects in Generalized Linear Models [PDF]

Multiplicative interaction models, such as Goodman's RC(M) association models, can be a useful tool for analyzing the content of interaction effects. However, most models for interaction effects are only suitable for data sets with two or three predictor
Koning, A.J., Rosmalen, J.M. van, Groenen, P.J.F.   +2 more
core   +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

Generalized AMMI Models for Assessing The Endurance of Soybean to Leaf Pest

Jurnal Ilmu Dasar, 2010
AMMI(Additive Main Effect Multiplicative Interaction)model for interactions in two-way table provide the major mean for studying stability and adaptability through genotype × environment interaction (GEI), which modeled by full interaction model ...
Alfian Futuhul Hadi, A. A. Mattjik, IM Sumertajaya   +2 more
doaj  

Habitat modelling of the southern right whale (Eubalaena australis) in the breeding area of southern Brazil

Scientia Marina
Southern right whales migrate seasonally between breeding and feeding grounds, and the southern coast of Brazil is one of their key breeding areas in the Atlantic Ocean.
Eduardo Pires Renault-Braga, Karina R. Groch, Eduardo Resende Secchi, Luciano Dalla Rosa   +3 more
doaj   +1 more source

Spike-and-slab least absolute shrinkage and selection operator generalized additive models and scalable algorithms for high-dimensional data analysis. [PDF]

Stat Med, 2022
Guo B, Jaeger BC, Rahman AKMF, Long DL, Yi N.   +4 more
europepmc   +1 more source

Clinical Outcomes of SEEG‐Guided Radiofrequency Thermocoagulation in Children With Focal Drug‐Resistant Epilepsy: A Multicenter Real‐World Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Stereoelectroencephalography‐guided radiofrequency thermocoagulation (SEEG‐RFTC) has emerged as a safe and effective minimally invasive treatment for children with drug‐resistant focal epilepsy. Although evidence from real‐world studies remains limited, numerous pediatric cases have demonstrated promising outcomes. This retrospective
Weitao Chen, Stéphane Jean, Weihong Liu, Yihai Dai, Xinrong Fang, Xiaoqiang Wei, Shan Chen, Shiwei Song   +7 more
wiley   +1 more source

The Role of Calcitonin Gene‐Related Peptide in High‐Altitude Headache: A Prospective Field Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective High‐altitude headache (HAH) is a common neurological condition associated with rapid ascent to high altitude. The pathophysiological mechanisms underlying HAH remain incompletely understood. Calcitonin gene‐related peptide (CGRP), a neuropeptide implicated in migraine pathophysiology, may play a key role in the pathophysiology of ...
Roman Schniepp, Ludwig Karrasch, Helena Breitenstein, Andreas Straube, Katharina Kamm   +4 more
wiley   +1 more source

NetGAM: Using generalized additive models to improve the predictive power of ecological network analyses constructed using time-series data. [PDF]

ISME Commun, 2022
Gleich SJ, Cram JA, Weissman JL, Caron DA.   +3 more
europepmc   +1 more source

Measurement error, GLMs, and notational conventions [PDF]

This paper introduces additive measurement error in a generalized linear-model context. We discuss the types of measurement error along with their effects on fitted models.
Raymond J. Carroll, James W. Hardin
core   +1 more source

RNA Sequencing Resolves Cryptic Pathogenic Variants in Mitochondrial Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Mitochondrial diseases are the most common inherited metabolic disorders, characterized by pronounced clinical and genetic heterogeneity that complicates molecular diagnosis. Although DNA‐based sequencing approaches have become standard in genetic testing, up to half of patients remain without a definitive diagnosis.
Zhimei Liu, Xin Duan, Fatemeh Peymani, Jia Wang, Chengjia Bao, Chaolong Xu, Ying Zou, Zixuan Zhang, Yunxi Zhang, Tongyue Li, Martin Pavlov, Junling Wang, Minhan Song, Tianyu Song, Xiaodi Han, Mingxi Sun, Danmin Shen, Ruoyu Duan, Huafang Jiang, Manting Xu, Holger Prokisch, Fang Fang   +21 more
wiley   +1 more source