Results 161 to 170 of about 18,832 (283)
Abstract Genome–phenome association (GPA) prediction can broaden the understanding of biological mechanisms underlying complex phenotypic traits (e.g., diseases and agronomic traits). Traditional deep matrix factorization (DMF)‐based GPA methods can integrate multiple data types and uncover nonlinear associations but often rely on low‐dimensional ...
Ran Duan +4 more
wiley +1 more source
Exploratory Identification of Gene Copy Number Cut-Off for NGS-Based <i>MET</i> Amplification Assessment and Clinical Relevance to MET Inhibitor Outcomes in Non-Small-Cell Lung Cancer. [PDF]
Liu SM +16 more
europepmc +1 more source
This review provides an overview of recent developments in metal organic framework (MOF)‐based and MOF‐derived composites for efficient oxygen evolution reaction. This review also emphasizes the structural design of electrocatalyst, active site optimization, and emerging prospects of their use in practical electrolyzer systems.
Bhagyashri B. Kamble +7 more
wiley +1 more source
Spatio-temporal epidemic forecasting with graph-based transformer. [PDF]
Ezzat M, Malek YM, AbdelKader T, Badr N.
europepmc +1 more source
Predicting Patent Licensing Using Graph Convolutional Networks (GCN)
Numerous scholars have delved into the primary factors influencing patent licensing, yet the relationships between licensors, licensees, and licensed patents require further exploration.
Dai, Jhih-Huan +2 more
core +1 more source
CF‐SBERTHet: Collaborative and Textual Knowledge Enhanced Semantic Graphs for Sparse Recommendations
ABSTRACT Modern e‐commerce platforms face a critical challenge: delivering accurate recommendations under extreme user–item interaction sparsity, where textual context remains systematically underutilised. Existing collaborative filtering methods degrade sharply in sparse settings, while semantic approaches fail to capture collaborative patterns ...
He Ma +7 more
wiley +1 more source
The genetic and clinical characteristics of oculopharyngeal muscular dystrophy patients in Israel. [PDF]
Ben-David M +12 more
europepmc +1 more source
Spatio-temporal prediction of terrorist attacks based on GCN-LSTM
Terrorist attacks represent a significant threat to national order, social stability, and economic security. Accurate prediction of such attacks is a critical task for casualty reduction, enhanced decision-making, and optimal resource distribution in ...
Yingjie Du, Ning Ding, Hongyu Lv
core +1 more source
We propose biologically motivated deep learning models to predict individualized task‐evoked brain activation from resting‐state functional magnetic resonance imaging. By integrating attention mechanisms and graph‐based cortical modeling, our approach matches state‐of‐the‐art accuracy while substantially reducing computational cost and revealing how ...
Soren J. Madsen +10 more
wiley +1 more source
Synechocystis sp. PCC 6803 shows high cell cycle dynamics reflected by an extraordinary genome copy number variation. [PDF]
Till J +6 more
europepmc +1 more source

