Results 81 to 90 of about 2,499,483 (247)
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 +7 more
wiley +1 more source
Task-Adaptive Few-shot Node Classification
, 2022 Node classification is of great importance among various graph mining tasks. In practice, real-world graphs generally follow the long-tail distribution, where a large number of classes only consist of limited labeled nodes. Although Graph Neural Networks
Zhang, Chuxu +4 more
core
Optimisation of machine learning methods for cancer detection using vibrational spectroscopy [PDF]
, 2011 Early cancer detection drastically improves the chances of cure and therefore methods are required, which allow early detection and screening in a fast, reliable and inexpensive manner.
Sattlecker, Martine
core +2 more sources
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 +4 more
wiley +1 more source
E2EG: End-to-End Node Classification Using Graph Topology and Text-based Node Attributes [PDF]
, 2023 Node classification utilizing text-based node attributes has many real-world applications, ranging from prediction of paper topics in academic citation graphs to classification of user characteristics in social media networks.
Dinh, Tu Anh +3 more
core
Mitigating Degree Bias Adaptively with Hard-to-Learn Nodes in Graph Contrastive Learning
AlgorithmsGraph Neural Networks (GNNs) often suffer from degree bias in node classification tasks, where prediction performance varies across nodes with different degrees.
Jingyu Hu +4 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
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To evaluate the efficacy and safety of ofatumumab in patients with myelin oligodendrocyte glycoprotein antibody–associated disease (MOGAD), and compare it with rituximab. Methods We conducted a single–center, observational study including 22 MOGAD patients treated with ofatumumab and 21 treated with rituximab.
Yuxin Fan +5 more
wiley +1 more source
Ensemble Strategies in Graph Convolutional Networks
IEEE AccessGraph 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 +3 more
doaj +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objectives Focal cortical dysplasia (FCD) is the most common etiology of drug‐resistant epilepsy in children. Focal to bilateral tonic–clonic seizures (FBTCS) mark a high risk of drug‐resistant epilepsy and involve thalamocortical circuitry in their generation and propagation.
Hua Xie +8 more
wiley +1 more source