SPG4 and Dementia: Expanding the Clinical Spectrum
ABSTRACT Objective Hereditary spastic paraplegia (HSP) is a group of disorders characterized by progressive spasticity and lower limb weakness, with mutations in SPG4/SPAST being the most common cause. Detailed studies and clinical and molecular comparisons across different populations are missing.
Emanuele Panza +19 more
wiley +1 more source
Hybrid feature selection and classification model using high-dimensional data based on a metaheuristic algorithm for brain cancer diagnosis. [PDF]
Manhrawy IIM +4 more
europepmc +1 more source
LongDat: an R package for covariate-sensitive longitudinal analysis of high-dimensional data. [PDF]
Chen CY, Löber U, Forslund SK.
europepmc +1 more source
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 +7 more
wiley +1 more source
An improved robust algorithms for fisher discriminant model with high dimensional data. [PDF]
Ma S, Duan Y.
europepmc +1 more source
Diffusion Curvature for Estimating Local Curvature in High Dimensional Data. [PDF]
Bhaskar D +6 more
europepmc +1 more source
Relationship Between Neurologic Symptoms and Signs and FMR1 Genotype in Premutation Carriers
ABSTRACT Background and Objectives Fragile X‐associated Tremor/Ataxia Syndrome (FXTAS) is the most severe late‐onset condition caused by a premutation in the FMR1 gene, characterized by expanded CGG triplet repeats of 55–200. Clinical presentations of FXTAS, including gait ataxia, kinetic tremor, cognitive decline, and rare Parkinsonism, are linked to ...
Flora Tassone +8 more
wiley +1 more source
High-dimensional data clustering
Clustering in high-dimensional spaces is a difficult problem which is recurrent in many domains, for example in image analysis. The difficulty is due to the fact that high-dimensional data usually exist in different low-dimensional subspaces hidden in ...
Bouveyron, Charles +2 more
core
Optimizing high dimensional data classification with a hybrid AI driven feature selection framework and machine learning schema. [PDF]
Salhi A +5 more
europepmc +1 more source
U-CIE [/juː 'siː/]: Color encoding of high-dimensional data. [PDF]
Koutrouli M, Morris JH, Jensen LJ.
europepmc +1 more source

