Results 71 to 80 of about 323,205 (262)
Temporal Mapper: Transition networks in simulated and real neural dynamics
Network Neuroscience, 2023 Characterizing large-scale dynamic organization of the brain relies on both data-driven and mechanistic modeling, which demands a low versus high level of prior knowledge and assumptions about how constituents of the brain interact.
Mengsen Zhang +2 more
doaj +1 more source
Molecular Oncology, EarlyView.Dormant cancer cells can hide in distant organs for years, evading treatment and the immune system. This review highlights how signals from the surrounding tissue and immune environment keep these cells inactive or trigger their reawakening. Understanding these mechanisms may help develop therapies to eliminate or control dormant cells and prevent ...
Kanishka Tiwary +1 more
wiley +1 more source
TEMPORAL DYNAMICS IN A POLLINATION NETWORK
Ecology, 2008 Despite a strong current interest in ecological networks, the bulk of studies are static descriptions of the structure of networks, and very few analyze their temporal dynamics. Yet, understanding network dynamics is important in order to relate network patterns to ecological processes.
Olesen, Jens Mogens; id_orcid 0000-0003-1998-1083 +3 more
openaire +4 more sources
Molecular Oncology, EarlyView.Single‐cell multi‐omics reveals epigenetic heterogeneity across therapy‐adaptive tumor states, including quiescent/dormant, drug‐tolerant persister, and EMT‐like phenotypes. By linking regulatory features with state‐associated biomarkers, these approaches inform biomarker‐guided therapeutic strategies for evolving tumors.
Hee Jung Kim +3 more
wiley +1 more source
Molecular Oncology, EarlyView.Circulating microRNAs as biomarkers of cachexia and sex‐specific cancer in senior dogs. In 25 client‐owned dogs, four circulating miRNAs (miR‐15a, miR‐15b, miR‐16, miR‐140) were downregulated in cachexia, with miR‐16 the strongest individual biomarker (AUC = 0.899).
Soon‐Seok Park +6 more
wiley +1 more source
Eigenvector Centrality Measure Based on Node Similarity for Multilayer and Temporal Networks
IEEE Access, 2019 Centrality of nodes is very useful for understanding the behavior of systems and has recently attracted plenty of attention from researchers. In this paper, we propose a new eigenvector centrality based on node similarity for ranking nodes in multilayer ...
Laishui Lv +5 more
doaj +1 more source
Molecular Oncology, EarlyView.Detecting circulating tumor cells (CTCs) in blood before surgery may help predict outcomes in patients with head and neck squamous cell carcinoma (HNSCC). Here, we show when combined with tumor size and lymph node involvement from routine imaging, CTC status identifies high‐risk patients with poorer survival—offering a simple, minimally invasive tool ...
Susanne Flach +9 more
wiley +1 more source
Network Diffusion Framework to Simulate Spreading Processes in Complex Networks
Big Data Mining and AnalyticsWith the advancement of computational network science, its research scope has significantly expanded beyond static graphs to encompass more complex structures.
Michał Czuba +7 more
doaj +1 more source
TemporalNode2vec: Temporal Node Embedding in Temporal Networks [PDF]
, 2019 The goal of graph embedding is to learn a representation of graphs vertices in a latent low-dimensional space in order to encode the structural information that lies in graphs. While real-world networks evolve over time, the majority of research focuses on static networks, ignoring local and global evolution patterns.
Haddad, Mounir +3 more
openaire +1 more source
Temporal stability of network partitions [PDF]
Physical Review E, 2014 15 pages, 12 ...
Petri, Giovanni, Expert, Paul
openaire +5 more sources