BCS1L‐Associated Disease: 5′‐UTR Variant Shifts the Phenotype Towards Axonal Neuropathy
ABSTRACT Objectives To investigate the consequences of a pathogenic missense variant (c.838C>T; p.L280F) and a 5′‐UTR regulatory variant (c.‐122G>T) in BCS1L on disease pathogenesis and to understand how regulatory variants influence disease severity and clinical presentation.
Rotem Orbach+11 more
wiley +1 more source
Personalized Ophthalmic Anesthesia: A Regression Analysis of Patient Characteristics, Surgical Profiles, and Anesthesia Protocols for Outcome Prediction. [PDF]
Shahzadi I+7 more
europepmc +1 more source
Test data matrix and results for linear regression analysis by method of W. E. Deming.
R F Schall, C W Kern, H J Tenoso
openalex +1 more source
Applied Regression Analysis: A Research Tool [PDF]
Mik Wisniewski, J. O. Rawlings
openalex +1 more source
ABSTRACT Objective The cervical spinal cord (cSC) is highly relevant to clinical dysfunction in multiple sclerosis (MS) but remains understudied using quantitative magnetic resonance imaging (MRI). We assessed magnetization transfer ratio (MTR), a semi‐quantitative MRI measure sensitive to MS‐related tissue microstructural changes, in the cSC and its ...
Lisa Eunyoung Lee+26 more
wiley +1 more source
Deep neural networks excel in COVID-19 disease severity prediction-a meta-regression analysis. [PDF]
Rakovics M+9 more
europepmc +1 more source
Combining Yearly and Quarterly Data in Regression Analysis
Eatzaz Ahmad
openalex +1 more source
On cluster regression and factor analysis models with elliptic $t$ errors [PDF]
Brajendra C. Sutradhar
openalex +1 more source
ABSTRACT Objective Spinocerebellar ataxias (SCAs) are a group of genetically heterogeneous neurodegenerative diseases causing progressive deterioration and reduced quality of life. Therapeutic advances have been limited by a lack of sensitive anatomic, functional, or diffusion imaging‐based biomarkers.
David J. Arpin+11 more
wiley +1 more source
Exploring entropy measures with topological indices on colorectal cancer drugs using curvilinear regression analysis and machine learning approaches. [PDF]
Fazal M, Kanwal S, Raza MT, Razzaque A.
europepmc +1 more source