Annals of Clinical and Translational Neurology, EarlyView.Abstract Objectives An increasing body of evidence indicates altered DNA methylation in Parkinson's disease, yet the reproducibility and utility of such methylation changes are largely unexplored. We aimed to further elucidate the role of dysregulated DNA methylation in Parkinson's disease and to evaluate the biomarker potential of methylation‐based ...
Ingeborg Haugesag Lie +4 more
wiley +1 more source
On the State of Computing in Statistics Education: Tools for Learning and for Doing [PDF]
arXiv, 2016 This paper lays out the current landscape of tools used in statistics education. In particular, it considers graphing calculators, spreadsheets, applets and microworlds, standalone educational software, statistical programming tools, tools for reproducible research and bespoke tools.
arxiv
Use of Machine Learning to Estimate Statistics of the Posterior Distribution in Probabilistic Inverse Problems—An Application to Airborne EM Data [PDF]
, 2022 Thomas Mejer Hansen +1 more
openalex +1 more source
Claustrum Volume Is Reduced in Multiple Sclerosis and Predicts Disability
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective The claustrum is a small, thin structure of predominantly gray matter with broad connectivity and enigmatic function. Little is known regarding the impact of claustrum pathology in multiple sclerosis (MS). Methods This study assessed whether claustrum volume was reduced in MS and whether reductions were associated with specific ...
Nicole Shelley +5 more
wiley +1 more source
TGPred: efficient methods for predicting target genes of a transcription factor by integrating statistics, machine learning and optimization. [PDF]
NAR Genom Bioinform, 2023 Cao X +8 more
europepmc +1 more source
Computation of the distribution of model accuracy statistics in machine learning: Comparison between analytically derived distributions and simulation‐based methods [PDF]
, 2023 Alexander A. Huang, Samuel Y. Huang
openalex +1 more source
Development of a Disease Model for Predicting Postoperative Delirium Using Combined Blood Biomarkers
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Postoperative delirium, a common neurocognitive complication after surgery and anesthesia, requires early detection for potential intervention. Herein, we constructed a multidimensional postoperative delirium risk‐prediction model incorporating multiple demographic parameters and blood biomarkers to enhance prediction accuracy ...
Hengjun Wan +7 more
wiley +1 more source
Cognitive Transfer Outcomes for a Simulation-Based Introductory Statistics Curriculum [PDF]
Statistics Education Research Journal, 16(2), 419-440, 2017 Cognitive transfer is the ability to apply learned skills and knowledge to new applications and contexts. This investigation evaluates cognitive transfer outcomes for a tertiary-level introductory statistics course using the CATALST curriculum, which exclusively used simulation-based methods to develop foundations of statistical inference.
arxiv
International Journal of Adaptive Control and Signal Processing, EarlyView.Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez +2 more
wiley +1 more source
Machine learning-derived reaction statistics for 3D spectroimaging of copper sulfidation in heterogeneous rubber/brass composites [PDF]
, 2023 H. Matsui +9 more
openalex +1 more source