Results 71 to 80 of about 229,000 (311)

Developmental programmes drive cellular plasticity, disease progression and therapy resistance in lung adenocarcinoma

Molecular Oncology, EarlyView.
This study shows that lung adenocarcinomas exploit developmental branching morphogenesis to acquire a therapy resistant basal‐like tumour cell state. This process was found to be regulated by combined TP53 loss‐of‐function and type‐I interferon signalling, identifying a novel axis for biomarker and therapeutic target discovery.
Kamila J Bienkowska, Stephany Gallardo, Nur S. Zainal, Leena Arora, Matthew Ellis, Maria‐Antoinette Lopez, Judith Austine, Sai Pittla, Serena J Chee, Aiman Alzetani, Emily C Shaw, Christian H Ottensmeier, Gareth J Thomas, Christopher J Hanley   +13 more
wiley   +1 more source

CGAP: A Hybrid Contrastive and Graph-Based Active Learning Pipeline to Detect Water and Sediment in Multispectral Images

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
In this article, we develop a contrastive graph-based active learning pipeline (CGAP) to identify surface water and near-water sediment pixels in multispectral images.
Bohan Chen, Kevin Miller, Andrea L. Bertozzi, Jon Schwenk   +3 more
doaj   +1 more source

Universal Graph Continual Learning [PDF]

, 2023
We address catastrophic forgetting issues in graph learning as the arrival of new data from diverse task distributions often leads graph models to prioritize the current task, causing them to forget valuable insights from previous tasks.
Nguyen, Bao Sinh, Nguyen, Huy Hoang, Do, Viet Tung, Le, Hung, Hoang, Thanh Duc, Nguyen, Duy Hung   +5 more
core  

Learning to rank on graphs [PDF]

Machine Learning, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

Graph representation learning: a survey [PDF]

APSIPA Transactions on Signal and Information Processing, 2020
Research on graph representation learning has received a lot of attention in recent years since many data in real-world applications come in form of graphs. High-dimensional graph data are often in irregular form, which makes them more difficult to analyze than image/video/audio data defined on regular lattices.
Fenxiao Chen, Yuncheng Wang, Bin Wang 0040, C.-C. Jay Kuo   +3 more
openaire   +2 more sources

Liquid biopsy‐based diagnostic evaluation of hypermethylated CpG sites for ovarian cancer diagnosis

Molecular Oncology, EarlyView.
This schematic outlines the workflow from biomarker identification to duplex MethyLight assay validation for epithelial ovarian cancer diagnosis using cfDNA‐based liquid biopsy. Initial screening of hypermethylated CpG candidates (cg02957270, cg10061138 cg00480298, COL2A1) was performed in tissue using ARMS‐PCR, COBRA, qPCR and image analysis. Selected
Deepa Bisht, Sameer Gupta, Amrita Chaurasia, Manisha Sachan   +3 more
wiley   +1 more source

stGuide advances label transfer in spatial transcriptomics through attention-based supervised graph representation learning

Frontiers in Genetics
The growing availability of spatial transcriptomics data offers key resources for annotating query datasets using reference datasets. However, batch effects, unbalanced reference annotations, and tissue heterogeneity pose significant challenges to ...
Yupeng Xu, Hao Dai, Jinwang Feng, Keren Xu, Qiu Wang, Pingting Gao, Chunman Zuo, Chunman Zuo   +7 more
doaj   +1 more source

Spatial-Temporal Recurrent Graph Neural Networks for Fault Diagnostics in Power Distribution Systems

IEEE Access, 2023
Fault diagnostics are extremely important to decide proper actions toward fault isolation and system restoration. The growing integration of inverter-based distributed energy resources imposes strong influences on fault detection using traditional ...
Bang L. H. Nguyen, Tuyen V. Vu, Thai-Thanh Nguyen, Mayank Panwar, Rob Hovsapian   +4 more
doaj   +1 more source

Patient therapy outcome modeling in cancer organoids is improved by cancer‐associated fibroblasts and organoid assembly convolution

Molecular Oncology, EarlyView.
Patient‐derived organoids (PDOs) from pancreatic, colorectal, and gastric cancers were used to evaluate standard and experimental therapies. Incorporating cancer‐associated fibroblasts (CAFs) into organoid cultures improved patient therapy outcome prediction.
Marcin Grochowski, Liudmyla Dolinchuk, Michał Jerzak, Albert Gandurski, Tomasz Grochowski, Weronika Wojtyś, Maciej Zadrożny, Wojciech Kaźmierczak, Małgorzata Lenarcik, Marta Matejak‐Górska, Radosław Samsel, Tomasz Olesiński, Dawid Walerych   +12 more
wiley   +1 more source

A Hierarchical Graph Learning Model for Brain Network Regression Analysis

Frontiers in Neuroscience, 2022
Brain networks have attracted increasing attention due to the potential to better characterize brain dynamics and abnormalities in neurological and psychiatric conditions. Recent years have witnessed enormous successes in deep learning.
Haoteng Tang, Lei Guo, Xiyao Fu, Benjamin Qu, Olusola Ajilore, Yalin Wang, Paul M. Thompson, Heng Huang, Alex D. Leow, Liang Zhan   +9 more
doaj   +1 more source