Results 161 to 170 of about 3,622,541 (329)

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

Random subspace-based ensemble classifier for high-dimensional data Using SPARK. [PDF]

PLoS One
Bhimineni VC, Senapati R.
europepmc   +1 more source

Identification of prognostic and predictive biomarkers in high-dimensional data with PPLasso. [PDF]

BMC Bioinformatics, 2023
Zhu W, Lévy-Leduc C, Ternès N.
europepmc   +1 more source

The xyz algorithm for fast interaction search in high-dimensional data [PDF]

, 2016
Gian-Andrea Thanei, Nicolai Meinshausen, Rajen D. Shah   +2 more
openalex   +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

Signpost Testing to Navigate the Parameter Space of the Gaussian Graphical Model With High-Dimensional Data. [PDF]

Biom J
Ruan K, van de Wiel MA, van Wieringen WN.   +2 more
europepmc   +1 more source

Distribution-free fault identification and anomaly detection in high-dimensional data

, 2018
Mehmet Turkoz
openalex   +1 more source

Epilepsy‐Associated Variants of a Single SCN1A Codon Exhibit Divergent Functional Properties

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Pathogenic variants in SCN1A, which encodes the voltage‐gated sodium channel NaV1.1, are associated with multiple epilepsy syndromes exhibiting a range of clinical severity. SCN1A variants are reported in different syndromes, including Dravet syndrome, which is associated with loss‐of‐function, whereas neonatal/infantile‐onset ...
Lanie N. Liebovitz, Christopher H. Thompson, Linda C. Laux, Alfred L. George Jr.   +3 more
wiley   +1 more source

Asymmetric canonical correlation analysis of Riemannian and high-dimensional data. [PDF]

Electron J Stat
Buenfil J, Lila E.
europepmc   +1 more source

An Ensemble Outlier Detection Method Based on Information Entropy-Weighted Subspaces for High-Dimensional Data. [PDF]

Entropy (Basel), 2023
Li Z, Zhang L.
europepmc   +1 more source