Results 41 to 50 of about 84,342 (259)
Signed Graph Attention Networks [PDF]
, 2019 Accepted and to appear at ...
Junjie Huang +3 more
openaire +4 more sources
The human gut microbiome across the life course
FEBS Letters, EarlyView.Despite significant individual variation and continuous change throughout life, the human gut microbiome follows some life stage‐specific trends. This article provides a brief overview of how gut microbiome composition shifts across different phases of life. Created in BioRender. Özkurt, E. (2026) https://BioRender.com/8q4nrnc.
Alise J. Ponsero +4 more
wiley +1 more source
Connectivity and Reachability in Signed Networks [PDF]
J. Univers. Comput. Sci., 2007 JUCS - Journal of Universal Computer Science Volume Nr.
openaire +3 more sources
From mice to humans—divergent strategies for intestinal homeostasis and regeneration
FEBS Letters, EarlyView.Recent advances such as organoid genome editing, xenotransplantation, imaging, and whole‐genome sequencing have enabled direct studies of human intestinal stem cells (ISCs). These studies reveal species‐specific features, including slower ISC proliferation, distinct injury responses, slower somatic mutation accumulation in humans, and an inverse ...
Keiko Ishikawa +2 more
wiley +1 more source
Assessing imbalance in signed brain networks
Physical Review ResearchMany complex systems—be they financial, natural, or social—are composed of units—such as stocks, neurons, or agents—whose joint activity can be represented as a multivariate time series.
Marzio Di Vece +5 more
doaj +1 more source
Design and analysis strategies for robust microbiome ageing research
FEBS Letters, EarlyView.The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
wiley +1 more source
A Memetic Algorithm for Community Detection in Signed Networks
IEEE Access, 2020 Community discovery (i.e. community detection) in signed networks is a division of nodes, such that the edges in the communities are positive and the edges between the communities are negative.
Shiwei Che, Wu Yang, Wei Wang
doaj +1 more source
Reconstructing enzyme evolution by protein engineering
FEBS Letters, EarlyView.Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler +2 more
wiley +1 more source
A negative link prediction method for signed social networks
Xi'an Gongcheng Daxue xuebao, 2021 Aiming at the disadvantages of negative link feature fusion and effective information mining in signed social networks, resulting in low prediction performance, a new feature fusion negative link prediction method is proposed.
Wei WANG, Miaomiao XUE, Momeng LIU
doaj +1 more source
SNE: Signed Network Embedding [PDF]
, 2017 Several network embedding models have been developed for unsigned networks. However, these models based on skip-gram cannot be applied to signed networks because they can only deal with one type of link. In this paper, we present our signed network embedding model called SNE. Our SNE adopts the log-bilinear model, uses node representations of all nodes
Shuhan Yuan, Xintao Wu, Yang Xiang 0006
openaire +3 more sources