Results 81 to 90 of about 263,942 (258)

Aquaporin‐3 and aquaporin‐5 impact the development of pancreatic ductal adenocarcinoma spheroids

FEBS Open Bio, EarlyView.
Schematic representation of the role of aquaporin‐3 (AQP3) and aquaporin‐5 (AQP5) in pancreatic ductal adenocarcinoma (PDAC). Both proteins are upregulated in PDAC and are associated with tumor progression and metastatic potential. Silencing AQP3 or AQP5 in PDAC spheroids results in decreased diameter, area, and overall growth, underscoring their key ...
Catarina Pimpão, Diogo M. Engrácia, Graça Soveral, Filipa Mendes   +3 more
wiley   +1 more source

Path Connectivity Based Neighbor‑Awareness Node Classification Algorithm

Shuju Caiji Yu Chuli
Graph convolutional neural networks obtain the node representation by aggregating the neighbor node information with high similarity，and selecting the appropriate neighborhood for the node and conducting effective aggregation are the keys to the graph ...
ZHENG Wenping, WANG Xiaomin, HAN Zhaorong   +2 more
doaj   +1 more source

MagmaFlow: A desktop platform for artificial intelligence‐driven expression analysis

FEBS Open Bio, EarlyView.
MagmaFlow is a free, no‐code platform for gene expression analysis. It generates interactive volcano plots, links genes to literature, pathways, and diseases, prioritizes candidates using millions of publications, identifies affected biological processes, builds network diagrams, and exports publication‐ready figures and reports for macOS and Windows ...
Carlos E. Buss, Ao Li, Eduardo H. Gilglioni, Mayank Bansal, Sumeet Pal Singh, Latifa Bakiri, Alessandra K. Cardozo, Esteban N. Gurzov   +7 more
wiley   +1 more source

Dual native G‐quadruplex folding is associated with chromatin looping at the MYC locus

FEBS Open Bio, EarlyView.
BG4‐detectable G‐quadruplex (G4) in HaCaT and NHEK keratinocytes identified folded and unfolded G4s enriched at promoters/TSSs and active enhancers, whereas unfolded G4s also overlapped weak/poised enhancers. At MYC–PVT1, 3C‐qPCR detected enhancer–promoter looping only when G4s were simultaneously folded at both regulatory elements under native ...
Dieila Giomo de Lima, Gustavo Narvaes Guimarães, Emilyane de Oliveira Santana Amaral, Bianca Caroline Figueiredo Bianco, Manuel Jara‐Espejo, Sérgio Roberto Peres Line, Ana Paula de Souza, Aline Cristiane Planello   +7 more
wiley   +1 more source

Risk Prediction Models for Recurrence After Curative Treatment of Early‐Stage or Locally Advanced Lung Cancer: A Systematic Review

Aging and Cancer, EarlyView.
This systematic review synthesizes prognostic models for survival and recurrence in resected non‐small cell lung cancer. While many models demonstrate moderate to good discrimination, few are externally validated and reporting quality is variable, limiting clinical applicability and highlighting the need for robust, transparent model development ...
Evangeline Samuel, S. Tissera, E. Paul, J. Zalcberg, R. G. Stirling   +4 more
wiley   +1 more source

Five‐Year Outcomes of Laparoscopic Sphincter‐Preserving Surgery for Rectal Cancer: A Prospective Study in Elderly Vietnamese Patients

Aging and Cancer, EarlyView.
This prospective study demonstrates that laparoscopic sphincter‐preserving surgery is feasible for elderly patients. While overall survival reaches 70% at 5 years, advanced T‐stage and the omission of neoadjuvant therapy significantly drive recurrence, highlighting the need for personalized geriatric protocols despite logistical challenges.
Huu Duc Ho, Quang Le, Ngoc Thach Tran, Van Viet Ung, Loc Vu   +4 more
wiley   +1 more source

Node Centralities and Classification Performance for Characterizing Node Embedding Algorithms

CoRR, 2018
Embedding graph nodes into a vector space can allow the use of machine learning to e.g. predict node classes, but the study of node embedding algorithms is immature compared to the natural language processing field because of a diverse nature of graphs.
Kento Nozawa, Masanari Kimura, Atsunori Kanemura   +2 more
openaire   +2 more sources

Ensemble Strategies in Graph Convolutional Networks

IEEE Access
Graph Convolutional Networks (GCNs) are widely used for node classification because they combine node features and graph topology effectively. However, their performance can be limited by structural noise, over smoothing, and sensitivity to graph ...
Rini Widiastuti, Aji Prasetya Wibawa, Wahyu Sakti Gunawan Irianto, Jehad A. H. Hammad   +3 more
doaj   +1 more source

Chronobiology of Cancer: How Aging Fuels Oncogenesis at the Molecular Level

Aging and Cancer, EarlyView.
This graphical abstract illustrates the key biological pathways linking aging with cancer development and progression. In the upper left, cumulative exposure to ultraviolet radiation, toxins, and reactive oxygen species (ROS) causes DNA damage and genomic instability, whereas age‐related decline in repair mechanisms, such as ATM/ATR, BER, and NER ...
Anu Singh, Aroonima Misra, Sufian Zaheer
wiley   +1 more source

Mitigating Degree Bias Adaptively with Hard-to-Learn Nodes in Graph Contrastive Learning

Algorithms
Graph Neural Networks (GNNs) often suffer from degree bias in node classification tasks, where prediction performance varies across nodes with different degrees.
Jingyu Hu, Hongbo Bo, Jun Hong, Xiaowei Liu, Weiru Liu   +4 more
doaj   +1 more source