Repository storing all data used for the paper: "Taking a Swing at Uncertainty: A Neural Network Analysis of Major League Baseball Strikeout Rates"These data were derived from the following resources available in the public domain: FanGraphs
Wisal Hashim Abdulsalam, Rasha H. Ali
Precise and interpretable classification of autism-related behaviors is importantfor initial diagnosis, personalized intervention, and support arrangements. This studyproposes an interpretable machine learning (ML) model using Light GradientBoosting Machine (LightGBM) and Categor…
Jicui Chen, G H Wu, Wei Shi, Xianjun Ma
Insulin resistance (IR) is the core pathological basis of type 2 diabetes mellitus (T2DM). This study aimed to identify core lipid metabolism-ubiquitination-related feature genes in IR. Integrative transcriptomic and functional analysis screened differential genes via multiple ma…
Background & Objective: Chronic sleep deprivation among adolescents has accelerated over the past three decades, aligning with widespread digital media saturation and reported cognitive focus issues. Traditional public health tracking often evaluates short‑term trends, overlo…
"MachineLearning_mono" is a MATLAB code that can read the FCC and BCC dataset, train the Machine Learning models, and generate plots for the performance of the ML models and make predictions. "BayeSQP_optim" is a MATLAB code that can take the initial guess from ML and do optimiza…
<b>Title:</b> Precise Prediction on the Corrosion Prevention Ability of 1,2,4-Triazole Derivatives: An Artificial Neural Network Approach<br><b>Overview:</b><br>This record contains the computational dataset, quantitative structure-activity relationship (QSAR) parameters, and art…
Christopher Angell, Dianjun Chen
Record of the development of the deep learning pipeline CADENCE, capable of generating novel competitive kinase inhibitors from amino acid sequence. CADENCE was trained on the Davis dataset of kinase inhibitors and binding scores, creating a binding affinity prediction model. Thi…