Results 71 to 80 of about 23,268,891 (291)
Tasks for Multivariate Network Analysis [PDF]
, 2014 In this chapter, we describe tasks that are typically encountered during visual multivariate network analysis. First, we present an overview of the entities and properties of multivariate networks and discuss a taxonomy for general visualization tasks. We next describe a framework for multivariate network tasks and show how these tasks can be composed ...
Johannes Pretorius +2 more
openaire +3 more sources
Association Between Motor Pathway Damage and Motor Deficit in Upper and Lower Limb in People With MS
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Corticospinal tract damage is common in people with MS, but the degree of clinical symptoms varies. We hypothesize that corticospinal tract lesions are more extensive and severe in people with MS with motor impairments in both upper and lower limbs.
Mathilde Liffran +13 more
wiley +1 more source
Interpretation of transformed axes in multivariate analysis
, 1993 Several multivariate statistical techniques involve an orthogonal transformation to new axes. These lead to new co-ordinates of a configuration usually in a lower dimensional space.
Arnold, G. M., Collins, A. J.
core +1 more source
Semina: Ciências Agrárias, 2014 This work had the aim to evaluate the genetic divergence in sugarcane clones using the methodology of graphic dispersion by principal components analysis associated to linear mixed models, indentifying the more divergent and productive genotypes with ...
Valéria Rosa Lopes +4 more
doaj +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective We aim to comprehensively analyze how regional tumor and edema characteristics are associated with clinical presentations and survival outcomes in a large cohort of glioblastoma patients. Methods Patients with IDH‐wildtype glioblastoma who received brain MRI from 2010 to 2023 were included.
Daniel J. Zhou +16 more
wiley +1 more source
Multivariate Statistical Analysis and Required Sample Size
Journal of Nursology, 2022 Ömer AKBULUT, Cantürk ÇAPIK
doaj +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Facioscapulohumeral muscular dystrophy (FSHD) is one of the most debilitating and common muscular dystrophies. Despite its severity, no approved therapy exists for FSHD patients. However, several therapeutic candidates are currently under development, and some have recently entered clinical trials, marking the need for reliable ...
Mustafa Bilal Bayazit +11 more
wiley +1 more source
Uncovering G Protein‐Coupled Receptors: Novel Targets and Biomarkers for Predicting Glioma Prognosis
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Low‐grade gliomas (LGG) exhibit significant heterogeneity and recurrence risk. G protein‐coupled receptors (GPCR) contribute to glioma malignant progression, but their prognostic value remains unclear. This work attempts to formulate a GPCR‐based outcome‐predicting model for LGG. Methods Based on TCGA LGG data, the enrichment scores
Jun Yang +4 more
wiley +1 more source
Quantum-Inspired Latent Variable Modeling in Multivariate Analysis
Latent variables play a crucial role in psychometric research, yet traditional models often struggle to address context-dependent effects, ambivalent states, and non-commutative measurement processes.
Theodoros Kyriazos, Mary Poga
core +1 more source