Imagen de Portada

Interpretable Graph Kolmogorov-Arnold Networks for Multi-Cancer Classification and Biomarker Identification using Multi-Omics Data

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Alharbi, Fadi, Budhiraja, Nishant, Vakanski, Aleksandar, Zhang, Boyu, Elbashir, Murtada K., Guduru, Harshith, Mohammed, Mohanad
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning Quantitative Methods 68 I.2.6
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

LASSO-MOGAT: A Multi-Omics Graph Attention Framework for Cancer Classification
por: Alharbi, Fadi, et al.
Publicado: (2024)

Comparative Analysis of Multi-Omics Integration Using Advanced Graph Neural Networks for Cancer Classification
por: Alharbi, Fadi, et al.
Publicado: (2024)

KA-GNN: Kolmogorov-Arnold Graph Neural Networks for Molecular Property Prediction
por: Li, Longlong, et al.
Publicado: (2024)

Transforming Multi-Omics Integration with GANs: Applications in Alzheimer's and Cancer
por: Reza, Md Selim, et al.
Publicado: (2025)

Optimizing Prognostic Biomarker Discovery in Pancreatic Cancer Through Hybrid Ensemble Feature Selection and Multi-Omics Data
por: Zobolas, John, et al.
Publicado: (2025)

TF-DWGNet: A Directed Weighted Graph Neural Network with Tensor Fusion for Multi-Omics Cancer Subtype Classification
por: Yang, Tiantian, et al.
Publicado: (2025)

MGKAN: Predicting Asymmetric Drug-Drug Interactions via a Multimodal Graph Kolmogorov-Arnold Network
por: Fan, Kunyi, et al.
Publicado: (2026)

Domain-aware priors stabilize, not merely enable, vertical federated learning in data-scarce coral multi-omics
por: Victor, Sam
Publicado: (2025)

Discovering Multi-omic Biomarkers for Prostate Cancer Severity Using Machine Learning
por: Zhou, Jefferson, et al.
Publicado: (2024)

Biologically Disentangled Multi-Omic Modeling Reveals Mechanistic Insights into Pan-Cancer Immunotherapy Resistance
por: Tariq, Ifrah, et al.
Publicado: (2025)

Graph-Based Biomarker Discovery and Interpretation for Alzheimer's Disease
por: Khalid, Maryam, et al.
Publicado: (2024)

An Uncertainty-Aware Dynamic Decision Framework for Progressive Multi-Omics Integration in Classification Tasks
por: Mu, Nan, et al.
Publicado: (2025)

Precision Cancer Classification and Biomarker Identification from mRNA Gene Expression via Dimensionality Reduction and Explainable AI
por: Tabassum, Farzana, et al.
Publicado: (2024)

Precision Oncology: Targeting Genomic Alterations and Cancer Signaling with Integrative Multi-Omics, Deep Learning and Network Biology in Medical Oncology
por: Kumar, Manish
Publicado: (2023)

Emerging AI Approaches for Cancer Spatial Omics
por: Noorbakhsh, Javad, et al.
Publicado: (2025)

Computational Mapping of Reactive Stroma in Prostate Cancer Yields Interpretable, Prognostic Biomarkers
por: Pleasure, Mara, et al.
Publicado: (2026)

Parameter estimation in ODEs: assessing the potential of local and global solvers
por: de Dios, M. Fernández, et al.
Publicado: (2024)

RXNRECer Enables Fine-grained Enzymatic Function Annotation through Active Learning and Protein Language Models
por: Shi, Zhenkun, et al.
Publicado: (2026)

EXAONE Path 2.5: Pathology Foundation Model with Multi-Omics Alignment
por: Yun, Juseung, et al.
Publicado: (2025)

Neural Population Decoding and Imbalanced Multi-Omic Datasets For Cancer Subtype Diagnosis
por: Kent, Charles Theodore, et al.
Publicado: (2024)

SGUQ: Staged Graph Convolution Neural Network for Alzheimer's Disease Diagnosis using Multi-Omics Data
por: Tao, Liang, et al.
Publicado: (2024)

LabelKAN -- Kolmogorov-Arnold Networks for Inter-Label Learning: Avian Community Learning
por: Grimson, Marc, et al.
Publicado: (2026)

Can a Quantum Support Vector Machine algorithm be utilized to identify Key Biomarkers from Multi-Omics data of COVID19 patients?
por: Choi, Junggu, et al.
Publicado: (2025)

Good Rankings, Wrong Probabilities: A Calibration Audit of Multimodal Cancer Survival Models
por: Ghawami, Sajad
Publicado: (2026)

OmicsQ: A User-Friendly Platform for Interactive Quantitative Omics Data Analysis
por: Trinh, Xuan-Tung, et al.
Publicado: (2025)

Operationalizing Cybersecurity Governance for Mitigation Planning with Attack-Path Modeling and Reinforcement Learning
por: Huff, Philip, et al.
Publicado: (2026)

A Multi-Omics Framework for Survival Mediation Analysis of High-Dimensional Proteogenomic Data
por: Ahn, Seungjun, et al.
Publicado: (2025)

Identification of Shared Genetic Biomarkers to Discover Candidate Drugs for Cervical and Endometrial Cancer by Using the Integrated Bioinformatics Approaches
por: Reza, Md. Selim, et al.
Publicado: (2025)

A graph neural network-based model with Out-of-Distribution Robustness for enhancing Antiretroviral Therapy Outcome Prediction for HIV-1
por: Di Teodoro, Giulia, et al.
Publicado: (2023)

Predicting Microbial Interactions Using Graph Neural Networks
por: Gholamzadeh, Elham, et al.
Publicado: (2025)

An Analytical Neighborhood Enrichment Score for Spatial Omics
por: Andersson, Axel, et al.
Publicado: (2025)

KANEL: Kolmogorov-Arnold Network Ensemble Learning Enables Early Hit Enrichment in High-Throughput Virtual Screening
por: Koptev, Pavel, et al.
Publicado: (2026)

Deep Multi-modal Breast Cancer Detection Network
por: Shah, Noor Ul Huda, et al.
Publicado: (2025)

Modeling Patient Care Trajectories with Transformer Hawkes Processes
por: Pandey, Saumya, et al.
Publicado: (2026)

GraphSeqLM: A Unified Graph Language Framework for Omic Graph Learning
por: Zhang, Heming, et al.
Publicado: (2024)

DrugReasoner: Interpretable Drug Approval Prediction with a Reasoning-augmented Language Model
por: Ghaffarzadeh-Esfahani, Mohammadreza, et al.
Publicado: (2025)

Kolmogorov Arnold Networks and Multi-Layer Perceptrons: A Paradigm Shift in Neural Modelling
por: Gaonkar, Aradhya, et al.
Publicado: (2026)

Unifying Physics- and Data-Driven Modeling via Novel Causal Spatiotemporal Graph Neural Network for Interpretable Epidemic Forecasting
por: Han, Shuai, et al.
Publicado: (2025)

Genotype-Phenotype Integration through Machine Learning and Personalized Gene Regulatory Networks for Cancer Metastasis Prediction
por: Fu, Jiwei, et al.
Publicado: (2025)

Multi-Beholder: Biomarker Prediction for Low-Grade Glioma with Multiple Instance Learning and One-Class Classification
por: Fang, Zijie, et al.
Publicado: (2023)