Cover Image

CMGL: Confidence-guided Multi-omics Graph Learning for Cancer Subtype Classification

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Fan, Boyang, Yin, Hengchuang, Yi, Siyu, Wang, Yifan, Li, Zhicheng, Zhou, Leijiyu, Lv, Jiancheng, Ju, Wei
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Genomics Molecular Networks 62H30, 68T07, 92C40 I.2.6; J.3
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Genomic Language Models: Opportunities and Challenges
by: Benegas, Gonzalo, et al.
Published: (2024)

Personalized graph feature-based multi-omics data integration for cancer subtype identification
by: Islam, Saiful, et al.
Published: (2024)

MOTGNN: Interpretable Graph Neural Networks for Multi-Omics Disease Classification
by: Yang, Tiantian, et al.
Published: (2025)

Interpreting artificial neural networks to detect genome-wide association signals for complex traits
by: Yelmen, Burak, et al.
Published: (2024)

engGNN: A Dual-Graph Neural Network for Omics-Based Disease Classification and Feature Selection
by: Yang, Tiantian, et al.
Published: (2026)

Enhanced Single-Cell RNA-seq Embedding through Gene Expression and Data-Driven Gene-Gene Interaction Integration
by: Goudarzi, Hojjat Torabi, et al.
Published: (2025)

Maximum likelihood estimation of log-affine models using detailed-balanced reaction networks
by: Henriksson, Oskar, et al.
Published: (2024)

AGNES: Adaptive Graph Neural Network and Dynamic Programming Hybrid Framework for Real-Time Nanopore Seed Chaining
by: Arafat, Jahidul, et al.
Published: (2025)

Integrating Large Language Models for Genetic Variant Classification
by: Boulaimen, Youssef, et al.
Published: (2024)

scDataset: Scalable Data Loading for Deep Learning on Large-Scale Single-Cell Omics
by: D'Ascenzo, Davide, et al.
Published: (2025)

A Multi-Evidence Framework Rescues Low-Power Prognostic Signals and Rejects Statistical Artifacts in Cancer Genomics
by: Akarlar, Gokturk Aytug
Published: (2025)

Multi-atlas Ensemble Graph Neural Network Model For Major Depressive Disorder Detection Using Functional MRI Data
by: Alotaibi, Nojod M., et al.
Published: (2024)

GraphCL: Graph-based Clustering for Semi-Supervised Medical Image Segmentation
by: Wang, Mengzhu, et al.
Published: (2024)

Jacobian-Velocity Bounds for Deployment Risk Under Covariate Drift
by: Landers, Jonathan R.
Published: (2026)

AntibodyDesignBFN: High-Fidelity Fixed-Backbone Antibody Design via Discrete Bayesian Flow Networks
by: Hu, Yue, et al.
Published: (2026)

3DViT-GAT: A Unified Atlas-Based 3D Vision Transformer and Graph Learning Framework for Major Depressive Disorder Detection Using Structural MRI Data
by: Alotaibi, Nojod M., et al.
Published: (2025)

CDFlow: Building Invertible Layers with Circulant and Diagonal Matrices
by: Feng, Xuchen, et al.
Published: (2025)

AGLP: A Graph Learning Perspective for Semi-supervised Domain Adaptation
by: Su, Houcheng, et al.
Published: (2024)

Learning Continuous Solvent Effects from Transient Flow Data: A Graph Neural Network Benchmark on Catechol Rearrangement
by: Xing, Hongsheng, et al.
Published: (2025)

Ultrafast topological data analysis reveals pandemic-scale dynamics of convergent evolution
by: Bleher, Michael, et al.
Published: (2021)

Ancestry-Adjusted Polygenic Risk Scores for Predicting Obesity Risk in the Indonesian Population
by: Siswanto, Jocelyn Verna, et al.
Published: (2025)

Genetic Profile-Based Drug Sensitivity Prediction in Acute Myeloid Leukemia Patients Using SVR
by: Ruhama, Sadia
Published: (2025)

iTARGET: Interpretable Tailored Age Regression for Grouped Epigenetic Traits
by: Wu, Zipeng, et al.
Published: (2025)

Forecasting Coccidioidomycosis (Valley Fever) in Arizona: A Graph Neural Network Approach
by: Sarabi, Ali, et al.
Published: (2025)

CNN-LSTM Hybrid Model for AI-Driven Prediction of COVID-19 Severity from Spike Sequences and Clinical Data
by: Cheohen, Caio, et al.
Published: (2025)

Integrated Multi-omics Reveals MEF2C as a Direct Regulator of Microglial Immune and Synaptic Programs
by: Ahmad, Taha
Published: (2025)

Multilayer network approaches to omics data integration in Digital Twins for cancer research
by: Chenel, Hugo, et al.
Published: (2024)

Constant-Target Energy Matching: A Unified Framework for Continuous and Discrete Density Estimation
by: Zeng, Zhijun, et al.
Published: (2026)

Evaluating the Quality of the Quantified Uncertainty for (Re)Calibration of Data-Driven Regression Models
by: Wibbeke, Jelke, et al.
Published: (2025)

Utilizing variational autoencoders in the Bayesian inverse problem of photoacoustic tomography
by: Sahlström, Teemu, et al.
Published: (2022)

DiM: $f$-Divergence Minimization Guided Sharpness-Aware Optimization for Semi-supervised Medical Image Segmentation
by: Wang, Bingli, et al.
Published: (2024)

Online decoding of rat self-paced locomotion speed from EEG using recurrent neural networks
by: de Miguel, Alejandro, et al.
Published: (2026)

ProactBench: Beyond What The User Asked For
by: Harfi, Sepehr, et al.
Published: (2026)

Structural Graph Neural Networks with Anatomical Priors for Explainable Chest X-ray Diagnosis
by: Berkani, Khaled
Published: (2026)

WaveNet's Precision in EEG Classification
by: van Laar, Casper, et al.
Published: (2025)

Deriving Decoder-Free Sparse Autoencoders from First Principles
by: Oursland, Alan
Published: (2026)

Uncovering symmetric and asymmetric species associations from community and environmental data
by: Si-Moussi, Sara, et al.
Published: (2025)

Effective Biological Representation Learning by Masking Gene Expression
by: Kenyon-Dean, Kian, et al.
Published: (2026)

How Long short-term memory artificial neural network, synthetic data, and fine-tuning improve the classification of raw EEG data
by: Nasybullin, Albert, et al.
Published: (2026)

Chreode: A Cell World Model for One-Step Temporal Dynamics and Perturbation Prediction
by: Qiu, Mufan, et al.
Published: (2026)