Abstract: Complex diseases arise from the intricate interactions between multiple genetic factors and environmental influences. Genome-Wide Association Studies (GWAS) are essential for uncovering the ...

High-dimensional data often contain noisy and redundant features, posing challenges for accurate and efficient feature selection. To address this, a dynamic multitask learning framework is proposed, ...

Spotify adds messaging for users 16+, enabling song, podcast, and audiobook sharing. One-on-one chats start via track share; recipients must accept requests. Feature keeps social sharing in-app, ...

ABSTRACT: Accurately predicting individual responses to antidepressant treatment is a critical step toward achieving personalized psychiatry and minimizing the ...

Department of Chemistry, University of Illinois at Urbana─Champaign, Urbana, Illinois 61801, United States Department of Chemistry, Rice University, Houston, Texas 77005, United States Department of ...

Background: Accurate forecasting of lung cancer incidence is crucial for early prevention, effective medical resource allocation, and evidence-based policymaking. Objective: This study proposes a ...

Abstract: A large number of features are involved in fault diagnosis, and it is challenging to identify important and relative features for fault classification. Feature selection selects suitable ...

1 Department of Electrical and Electronic Engineering, Faculty of Engineering, Sunyani Technical University, Sunyani, Ghana. 2 Department of Electrical and Electronic Engineering, Akenten Appiah-Menka ...