Results 121 to 130 of about 1,077,907 (260)

Value of MRI Outcomes for Preventive and Early‐Stage Trials in Spinocerebellar Ataxias 1 and 3

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To examine the value of MRI outcomes as endpoints for preventive and early‐stage trials of two polyglutamine spinocerebellar ataxias (SCAs). Methods A cohort of 100 participants (23 SCA1, 63 SCA3, median Scale for the Assessment and Rating of Ataxia (SARA) score = 5, 42% preataxic, and 14 gene‐negative controls) was scanned at 3T up ...
Thiago J. R. Rezende, Emilien Petit, Young Woo Park, Sophie Tezenas du Montcel, James M. Joers, Jonathan M. DuBois, H. Moore Arnold, Michal Povazan, Ipek Özdemir, Guita Banan, Romain Valabregue, Philipp Ehses, Jennifer Faber, Chiadi U. Onyike, Peter B. Barker, Jeremy D. Schmahmann, Eva‐Maria Ratai, Sub H. Subramony, Thomas H. Mareci, Khalaf O. Bushara, Henry Paulson, Thomas Klockgether, Alexandra Durr, Tetsuo Ashizawa, Christophe Lenglet, Gülin Öz, READISCA Investigators   +26 more
wiley   +1 more source

A Regularized MANOVA Test for Semicontinuous High-Dimensional Data. [PDF]

Biom J
Sabbioni E, Agostinelli C, Farcomeni A.
europepmc   +1 more source

LongDat: an R package for covariate-sensitive longitudinal analysis of high-dimensional data. [PDF]

Bioinform Adv, 2023
Chen CY, Löber U, Forslund SK.
europepmc   +1 more source

Fluid Biomarkers of Disease Burden and Cognitive Dysfunction in Progressive Supranuclear Palsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Identifying objective biomarkers for progressive supranuclear palsy (PSP) is crucial to improving diagnosis and establishing clinical trial and treatment endpoints. This study evaluated fluid biomarkers in PSP versus controls and their associations with regional 18F‐PI‐2620 tau‐PET, clinical, and cognitive outcomes.
Roxane Dilcher, Charles B. Malpas, Stuart J. McDonald, William T. O’Brien, Craig Despott, Kelly L. Bertram, Matthew P. Pase, Lukas Frontzkowski, Meng Law, Terence J. O’Brien, Lucy Vivash   +10 more
wiley   +1 more source

An improved robust algorithms for fisher discriminant model with high dimensional data. [PDF]

PLoS One
Ma S, Duan Y.
europepmc   +1 more source

U-CIE [/juː 'siː/]: Color encoding of high-dimensional data. [PDF]

Protein Sci, 2022
Koutrouli M, Morris JH, Jensen LJ.
europepmc   +1 more source

Classification of high dimensional data: High Dimensional Discriminant Analysis

, 2005
We propose a new method of discriminant analysis, called High Dimensional Discriminant Analysis (HHDA). Our approach is based on the assumption that high dimensional data live in dierent subspaces with low dimensionality. Thus, HDDA reduces the dimension for each class independently and regularizes class conditional covariance matrices in order to ...
Bouveyron, Charles, Girard, Stéphane, Schmid, Cordelia   +2 more
openaire   +1 more source

Baseline Regional Cholinergic Denervation Predicts Cognitive Trajectories in Moderate Parkinson Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Cognitive decline is a disabling and variable feature of Parkinson disease (PD). While cholinergic system degeneration is linked to cognitive impairments in PD, most prior research reported cross‐sectional associations. We aimed to fill this gap by investigating whether baseline regional cerebral vesicular acetylcholine transporter ...
Taylor Brown, Giulia Carli, Prabesh Kanel, Stiven Roytman, Jaimie Barr, Nicolaas I. Bohnen, Roger L. Albin   +6 more
wiley   +1 more source

Optimizing high dimensional data classification with a hybrid AI driven feature selection framework and machine learning schema. [PDF]

Sci Rep
Salhi A, Alshamrani R, Althbiti A, Ismail A, Abd-ElRahman M, Hassan BM.   +5 more
europepmc   +1 more source

Survey on Exact kNN Queries over High-Dimensional Data Space. [PDF]

Sensors (Basel), 2023
Ukey N, Yang Z, Li B, Zhang G, Hu Y, Zhang W.   +5 more
europepmc   +1 more source