Results 161 to 170 of about 18,832 (283)

Genome–phenome association prediction using weighted deep matrix factorization with a multisource graph attention network

open access: yesQuantitative Biology, Volume 14, Issue 3, September 2026.
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]

open access: yesLung Cancer (Auckl)
Liu SM   +16 more
europepmc   +1 more source

Structural Design of MOF‐Based and MOF‐Derived Composites for Oxygen Evolution Electrocatalysis: Materials Innovation for Energy and Environmental Sustainability

open access: yesENERGY &ENVIRONMENTAL MATERIALS, Volume 9, Issue 4, July 2026.
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]

open access: yesInt J Health Geogr
Ezzat M, Malek YM, AbdelKader T, Badr N.
europepmc   +1 more source

Predicting Patent Licensing Using Graph Convolutional Networks (GCN)

open access: yes
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

open access: yesExpert Systems, Volume 43, Issue 7, July 2026.
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]

open access: yesOrphanet J Rare Dis
Ben-David M   +12 more
europepmc   +1 more source

Spatio-temporal prediction of terrorist attacks based on GCN-LSTM

open access: yes
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

Efficient Deep Learning Models for Predicting Individualized Task Activation From Resting‐State Functional Connectivity

open access: yesHuman Brain Mapping, Volume 47, Issue 9, June 15, 2026.
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]

open access: yesMicrob Cell Fact
Till J   +6 more
europepmc   +1 more source

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