Results 71 to 80 of about 22,751 (263)

Disentangling Heterogeneous Molecular Networks for Multi‐Omics‐Driven Cancer Driver Discovery

Advanced Science, EarlyView.
DRIVE integrates PPI topology and pan‐cancer multi‐omics profiles through dual‐view graph disentanglement, contrastive representation learning, and joint optimization. Across six PPI networks, DRIVE outperforms ten baselines and remains robust to structural and annotation perturbations.
Xinjing Gong, Ji Li, Mu Su, Peishen Yu, Te Ma, Ruiyang Zhai, Chenye Zhang, Mengyan Zhang, Yan Zhang   +8 more
wiley   +1 more source

Rank-GCN for Robust Action Recognition

IEEE Access, 2022
We present a robust skeleton-based action recognition method with graph convolutional network (GCN) that uses the new adjacency matrix, called Rank-GCN. In Rank-GCN, the biggest change from previous approaches is how the adjacency matrix is generated to accumulate features from neighboring nodes by re-defining “adjacency.” The new ...
Haetsal Lee, Unsang Park, Ig-Jae Kim, Junghyun Cho   +3 more
openaire   +3 more sources

PrOMet: Accurate and Robust Metal‐Binding Site and Type Prediction

Advanced Science, EarlyView.
PrOMet is a two‐stage deep learning framework for jointly predicting metal‐binding sites and ion identities from protein structures. Surface candidate sites are first pruned, followed by refinement of the most probable sites and metal types. This hierarchical strategy enables robust and accurate metal prediction for cryo‐EM and AlphaFold‐derived ...
Gangeun Park, Chaok Seok, Hahnbeom Park
wiley   +1 more source

Ethanol sensing using group-11 transition metal decorated graphitic carbon nitride (gCN): An insights from DFT study

Nano Trends
In this study we presented the DFT based sensing of ethanol using pristine graphitic carbon nitride (gCN) and group-11 TM (Cu, Ag & Au) decorated gCN.
Nihal, Jyoti R․, Rahul Sharma, Mamta Sharma, B.C. Choudhary, J.K. Goswamy   +5 more
doaj   +1 more source

The translational regulators GCN-1 and ABCF-3 act together to promote apoptosis in C. elegans. [PDF]

PLoS Genetics, 2014
The proper regulation of apoptosis requires precise spatial and temporal control of gene expression. While the transcriptional and translational activation of pro-apoptotic genes is known to be crucial to triggering apoptosis, how different mechanisms ...
Takashi Hirose, H Robert Horvitz
doaj   +1 more source

Flexible Integration of Structurally Diverse Spatial Multi‐Omics With AgaeSMO

Advanced Science, EarlyView.
AgaeSMO is a versatile and robust deep learning framework for flexible cross‐integration of spatial multi‐omics data. Leveraging a GATs network with a graph attention module, it learns joint embedding across diverse modalities, enabling integration of both structurally paired (e.g., spatial transcriptome‐epigenome, transcriptome‐proteome, transcriptome‐
Kunpeng Liu, Jinpo Su, Haotian Zhou, Yilin Shen, Mengke Qin, Yingjie Luo, Tiancai Wang, Zhenglin Chen, Yuanyuan Wang, Xiaokai Ma   +9 more
wiley   +1 more source

GCN-Code&StreetGraphFor298Cities

The package includes (1) Python scripts for the proposed GCN framework on street network analysis with a case study of urban polycentricity measurement, (2) Shapefile of top 128 streets for each city and txt file of corresponding dual graph as inputs of ...
Ding Ma (4667212)
core   +1 more source

GCN-MF

, 2019
Discovering disease-gene association is a fundamental and critical biomedical task, which assists biologists and physicians to discover pathogenic mechanism of syndromes. With various clinical biomarkers measuring the similarities among genes and disease
Peng Han, Gao, Xin, Shuo Shang, Shang, Shuo, Peng Yang, Yong Liu, Han, Peng, Peilin Zhao, Zhao, Peilin, Jiayu Zhou, Yang, Peng, Zhou, Jiayu, Panos Kalnis, Xin Gao, Liu, Yong, Kalnis, Panos   +15 more
core   +1 more source

Automating AI Discovery for Biomedicine Through Knowledge Graphs and Large Language Models Agents

Advanced Intelligent Discovery, EarlyView.
This work proposes a novel framework that automates biomedical discovery by integrating knowledge graphs with multiagent large language models. A biologically aligned graph exploration strategy identifies hidden pathways between biomedical entities, and specialized agents use this pathway to iteratively design AI predictors and wet‐lab validation ...
Naafey Aamer, Muhammad Nabeel Asim, Shan Munir, Andreas Dengel   +3 more
wiley   +1 more source

Intelligent AML systems: using deep learning to detect financial fraud

TalTech Journal of European Studies
Financial fraud involving drop accounts is a major challenge for banking institutions and anti-money laundering (AML) systems. Fraudsters exploit weaknesses in transaction monitoring, making illicit fund transfers difficult to detect. Traditional methods
Pavlova Olga, Askerov Viacheslav, Tomchyshen Bohdan, Hovorushchenko Tetiana   +3 more
doaj   +1 more source