Li, Y. and Liu, J. (2025) An Accessible Predictive Model for Alzheimer’s Disease Based on Cognitive and Neuropathological ...
In this important work, the authors present a new transformer-based neural network designed to isolate and quantify higher-order epistasis in protein sequences. They provide solid evidence that higher ...
Aims To assess cytokine levels in peripheral blood and tears of patients after allogeneic haematopoietic stem cell ...
Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...
Importance Little research has been done on post-COVID symptoms at 24 months postinfection and on the association these may ...
Generalised linear mixed models and ... To prevent overfitting and improve variable selection, we will apply least absolute shrinkage and selection operator (LASSO) regression23 for feature selection.
A big new study suggests that certain genetic traits—like insomnia risk and neuroticism—may make depression harder to treat, ...
Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single ...
This is a preview. Log in through your library . Abstract 4 different procedures are commonly employed with sample data to reduce a set of predictor variables. In the present study these procedures ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback