Results 71 to 80 of about 1,256,700 (250)

Deep Graph Clustering with Triple Fusion Mechanism for Community Detection

Deep graph clustering is a highly significant tool for community detection, enabling the identification of strongly connected groups of nodes within a graph. This technology is crucial in various fields such as education and E-learning.
Shi, Kaize, Zhang, Peng, Zhang, P, Peng, Xueping, Liu, Jinyan, Lei, Zhongxiang, Niu, Zhendong, Shi, K, Ma, Yuanchi, He, H, Liu, J, Ma, Y, Lei, Z, Niu, Z, He, Hui, Peng, X   +15 more
core   +1 more source

Extracellular matrix remodeling and immune reprogramming drive residual tumor progression of liver cancer after incomplete microwave ablation

Molecular Oncology, EarlyView.
Incomplete microwave ablation (iMWA) of liver cancer triggers a biphasic progression in residual tumors. At Day 3, the microenvironment is characterized by acute inflammatory responses and extracellular matrix (ECM) remodeling. By Day 14, a profound shift occurs toward oncogenic signal transduction and immunosuppression, marked by macrophage ...
Yu Liu, Yubei He, Nikolaus Berndt, Michael Mülleder, Kathrin Textoris‐Taube, Jing Guo, Matthias Stechele, Justus Ramtke, Shraga Nahum Goldberg, Lynn Jeanette Savic   +9 more
wiley   +1 more source

Graph Convolution-Based Deep Clustering for Speech Separation

IEEE Access, 2020
Deep clustering is a promising technique for speech separation that is crucial to speech communication, acoustic target detection, acoustic enhancement and speech recognition. In the study of monophonic speech separation, the problem is that the decrease
Shan Qin, Ting Jiang, Sheng Wu, Ning Wang, Xinran Zhao   +4 more
doaj   +1 more source

Targeting the EpCAM‐AXL axis to overcome drug resistance in lung cancer

Molecular Oncology, EarlyView.
Lung cancer cells often evade therapy by hijacking signaling pathways. We reveal that cleaved EpCAM (sEpCAM) stabilizes the oncogenic protein AXL, driving NF‐κB and STAT3‐mediated chemoresistance. This EpCAM‐AXL axis identifies a high‐risk patient subset with poor prognosis.
Alexa Guerrero‐Alba, Mark Shacker, Timothy P. Fleming, Michael A. Smith, Ross M. Bremner, Narendra V. Sankpal   +5 more
wiley   +1 more source

Large graph clustering using DCT-based graph clustering [PDF]

, 2014
With the proliferation of the World Wide Web, graph structures have arisen on social network/media sites. Such graphs usually number several million nodes, i.e., they can be characterized as Big Data.
Pitas, Ioannis, Nikolaos Nikolaidis, Tefas, Anastasios, Anastasios Tefas, Nikolaos Tsapanos, Tsapanos, Nikolaos, Nikolaidis, Nikolaos, Ioannis Pitas   +7 more
core   +1 more source

Cloud Service Community Detection for Real-World Service Networks Based on Parallel Graph Computing

IEEE Access, 2019
Heterogeneous information networks (e.g. cloud service relation networks and social networks), where multiple-typed objects are interconnected, can be structured by big graphs. A major challenge for clustering in such big graphs is the complex structures
Yu Lei, Philip S. Yu
doaj   +1 more source

Tumour‐proximal deep serum proteomics identifies biomarkers associated with ovarian cancer

Molecular Oncology, EarlyView.
New biomarkers are needed for early ovarian cancer detection. Ovarian (tumour‐proximal) and peripheral vein serum from healthy women and patients with benign or malignant tumours underwent nanoparticle‐enriched deep proteomics. Ovarian serum yielded more protein identifications and revealed tumour‐reflective signatures.
Darren Lau, Daniel Pincher, Clifford Young, Nicholas Chappell, Noor A. Lokman, Parul Mittal, Leigh Donnellan, Martin K. Oehler, Doug A. Brooks, Peter Hoffmann   +9 more
wiley   +1 more source

Multi-view clustering via global-view graph learning.

PLoS ONE
Multiview clustering aims to improve clustering performance by exploring multiple representations of data and has become an important research direction. Meanwhile, graph-based methods have been extensively studied and have shown promising performance in
Qin Li, Geng Yang
doaj   +1 more source

A Unified Graph Theory Approach: Clustering and Learning in Criminal Data

Mathematics
Crime report clustering plays a critical role in modern law enforcement, enabling the identification of patterns and trends essential for proactive policing.
Haifa Al-Ibrahim, Heba Kurdi
doaj   +1 more source

Single‐molecule DNA flow‐stretch assays for high‐throughput DNA–protein interaction studies

FEBS Open Bio, EarlyView.
We describe an optimised single‐molecule DNA flow‐stretch assay that visualises DNA–protein interactions in real time. Linear DNA fragments are tethered to a surface and stretched by buffer flow for fluorescence imaging. Using λ and φX174 DNA, this protocol enhances reproducibility and accessibility, providing a versatile approach for studying diverse ...
Ayush Kumar Ganguli, Mohammad Nour Alsamsam, Ugnė Bagdonaitė, Van Truc Vu, Chun‐Jen Huang, Polina Kuzhir, Mindaugas Zaremba, Aurimas Kopūstas, Marijonas Tutkus   +8 more
wiley   +1 more source