Results 141 to 150 of about 385,160 (293)
FastLSU: A Linear Implementation for Controlling the False Discovery Rate
Large-scale hypothesis testing is an important experimental procedure in the field of bioinformatics. Often times, researchers would like to control the rate of false positives that appear in their experiments.
Ceme, Mckervin
core
ABSTRACT Objectives Retrograde trans‐synaptic degeneration (rTSD) from posterior visual pathway lesions in multiple sclerosis (MS) is characterized by hemi‐macular ganglion cell‐inner plexiform layer (GCIPL) thinning and contralateral visual field loss.
Abdul Jaber Tayem +17 more
wiley +1 more source
Soil scientists often have many covariates that they can use to predict soil properties by regression. They are ill-advised to use all available covariates uncritically, but methods for selection (whether informal or formal) that depend on data for both ...
Webster, R. +2 more
core +1 more source
ABSTRACT Objective To explore how cerebral hypoxia and Normal‐Appearing White Matter (NAWM) integrity affect MS lesion burden and clinical course. Methods Seventy‐nine MS patients, including 13 clinically isolated syndrome (CIS) patients and 66 relapsing–remitting multiple sclerosis (RRMS) patients, and 44 healthy controls (HCs) were recruited from ...
Xinli Wang +8 more
wiley +1 more source
Benchmarking Pretrained Models for Speech Emotion Recognition: A Focus on Xception
Speech emotion recognition (SER) is an emerging technology that utilizes speech sounds to identify a speaker’s emotional state. Computational intelligence is receiving increasing attention from academics, health, and social media applications.
Ahmed Hassan +4 more
doaj +1 more source
Cracking the Code: Genotype–Phenotype Correlation Models in Sarcoglycanopathies
ABSTRACT Objective Sarcoglycanopathies are among the most severe limb‐girdle muscular dystrophies (LGMD), though milder presentations have been described. These diseases are primarily caused by missense variants, but the limited predictability of their effect on protein maturation, complex formation, and transport has hindered reliable genotype ...
Leonela Luce +72 more
wiley +1 more source
Bayesian False Discovery Rate Wavelet Shrinkage: Theory and Applications
. Statistical inference in the wavelet domain remains vibrant area of contemporary statistical research because desirable properties of wavelet representations and the need of scientific community to process, explore, and summarize massive data sets ...
Yoon Young Jung +3 more
core +1 more source
CSF Monoamine Metabolites and Cognitive Trajectory in Early Parkinson's Disease
ABSTRACT Background Imaging and postmortem studies indicate that abnormalities in monoaminergic neurotransmission contribute to cognitive impairment in Parkinson's disease (PD). However, it remains uncertain if cerebrospinal fluid (CSF) monoamine metabolites can serve as biomarkers of cognitive decline in early PD.
Jing‐Yu Shao +7 more
wiley +1 more source
Is a score enough? Pitfalls and solutions for AI severity scores
Severity scores, which often refer to the likelihood or probability of a pathology, are commonly provided by artificial intelligence (AI) tools in radiology.
Michael H. Bernstein +5 more
doaj +1 more source
Comments on "A Scale-Free Approach for False Discovery Rate Control in Generalized Linear Models". [PDF]
Li S, Yao Y, Zhang CH.
europepmc +1 more source

