Results 91 to 100 of about 1,049,471 (309)

E2A selectively regulates TGF‐β–induced apoptosis in KRAS‐mutant non‐small cell lung cancer

Molecular Oncology, EarlyView.
Ability to induce apoptosis by TGF‐β is frequently lost in advanced lung adenocarcinoma despite intact TGF‐β signaling. We identify E2A as a mutant KRAS–dependent mediator of resistance to TGF‐β–induced apoptosis. TGF‐β induces E2A via SMAD3 in mutant KRAS cells, and E2A silencing restores apoptosis and enhances radiation response in cell lines ...
Sergei Chuikov, Shiva Krishna Katkam, Zhefan Wang, Venkateshwar G. Keshamouni   +3 more
wiley   +1 more source

Rail Transit Prediction Based on Multi-View Graph Attention Networks

Journal of Advanced Transportation, 2022
Traffic prediction is the cornerstone of intelligent transportation system. In recent years, graph neural network has become the mainstream traffic prediction method due to its excellent processing ability of unstructured data.
Li Wang, Xin Wang, Jiao Wang
doaj   +1 more source

NKCC1: A key regulator of glioblastoma progression

Molecular Oncology, EarlyView.
Glioblastoma (GBM) progression is driven by disrupted chloride cotransporter homeostasis. NKCC1 is highly expressed in stem‐like, astrocytic, and progenitor cells, correlating with earlier recurrence, while overall survival remains unaffected. NKCC1 serves as a prognostic marker and potential therapeutic target, linking chloride transporter imbalance ...
Anja Thomsen, Diana Freitag, Madlen Haase, Christian Senft, Falko Schwarz, Silke Keiner   +5 more
wiley   +1 more source

Adaptive Structural Similarity Guided GCN–GAT Framework for Robust Link Prediction [PDF]

International Journal of Mathematical, Engineering and Management Sciences
Social Network Analysis (SNA) has experienced major advancements with the growth of technology, which has made link prediction an important aspect of SNA, particularly regarding social network applications, recommendation systems, and various biological ...
Shambhu Kumar, Dinesh C. S. Bisht, Arti Jain   +2 more
doaj   +1 more source

Predicting miRNA-Disease Associations Based on Heterogeneous Graph Attention Networks

Frontiers in Genetics, 2021
In recent years, more and more evidence has shown that microRNAs (miRNAs) play an important role in the regulation of post-transcriptional gene expression, and are closely related to human diseases.
Cunmei Ji, Yutian Wang, Jiancheng Ni, Chunhou Zheng, Yansen Su   +4 more
doaj   +1 more source

Relational Graph Attention Networks

, 2019
We investigate Relational Graph Attention Networks, a class of models that extends non-relational graph attention mechanisms to incorporate relational information, opening up these methods to a wider variety of problems. A thorough evaluation of these models is performed, and comparisons are made against established benchmarks.
Busbridge, Dan, Sherburn, Dane, Cavallo, Pietro, Hammerla, Nils Y.   +3 more
openaire   +2 more sources

Adaptive Depth Graph Attention Networks

, 2023
As one of the most popular GNN architectures, the graph attention networks (GAT) is considered the most advanced learning architecture for graph representation and has been widely used in various graph mining tasks with impressive results. However, since GAT was proposed, none of the existing studies have provided systematic insight into the ...
Zhou, Jingbo, Du, Yixuan, Zhang, Ruqiong, Zhang, Rui   +3 more
openaire   +2 more sources

Molecular cancer prevention: Intercepting disease

Molecular Oncology, EarlyView.
Oncological practice must evolve, from treating established tumours to proactive cancer interception before clinical manifestation. This will require mechanistic insight into tumour initiation, validated biomarkers of early disease development and redesigned clinical trials, enabling cancer interception to become a core pillar of oncology with the ...
Charlotte Grieco, Tej Pandya, Charles Swanton   +2 more
wiley   +1 more source

Enhancing Image Classification using Graph Attention Networks

Iraqi Journal for Computers and Informatics
Excellent performance in artificial intelligence image classification leads to extensive applications throughout areas such as healthcare facilities, robotic systems and multimedia platforms.
Hasan Maher Ahmed
doaj   +1 more source

Metformin promotes mitochondrial integrity through AMPK‐signaling in Leber's hereditary optic neuropathy

FEBS Open Bio, EarlyView.
Metformin mediates mitochondrial quality control in Leber's hereditary optic neuropathy (LHON) fibroblasts carrying mtDNA mutations. At therapeutic levels, metformin activates AMPK signaling to restore mitochondrial dynamics by promoting fusion and restraining fission, while preserving mitochondrial mass, enhancing autophagy/mitophagy and biogenesis ...
Chatnapa Panusatid, Rapasviranda Soiyangsuk, Maneeluck Tanadjindarat, Chayanon Peerapittayamongkol   +3 more
wiley   +1 more source