Image de couverture de livre

MetaGEM: Bottom-Up Reconstruction of Genome-Scale Metabolic Networks via Deep Enzyme-Metabolite Anchoring

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Xiao, Weiyu, Zheng, Jiangbin, Li, Stan Z.
Format:	Preprint
Publié:	2026
Sujets:	Quantitative Methods 92C42, 92C40, 68T05, 90C11 I.2.6; I.5.1; J.3
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Enhancing mortality prediction in cardiac arrest ICU patients through meta-modeling of structured clinical data from MIMIC-IV
par: Mamatov, Nursultan, et autres
Publié: (2025)

Layer Probing Improves Kinase Functional Prediction with Protein Language Models
par: Kumar, Ajit, et autres
Publié: (2025)

Automated Detection of Circadian-Dependent Epileptic Biomarkers for Seizure Localization: A Machine Learning and Signal Processing Framework
par: Gashti, Mehdi Zekriyapanah, et autres
Publié: (2025)

GATher: Graph Attention Based Predictions of Gene-Disease Links
par: Narganes-Carlon, David, et autres
Publié: (2024)

Algebraic approaches for the decomposition of reaction networks and the determination of existence and number of steady states
par: Sauder, Joseph M., et autres
Publié: (2025)

Automatic computation of the glycemic index: data driven analysis of the glucose standard
par: Credali, Fabio, et autres
Publié: (2025)

Best Practices on QSP Model Reporting for Regulatory Use: perspectives from ISoP QSP SIG Working Group
par: Zaph, Susana, et autres
Publié: (2026)

Perforated Neural Networks for Keyword Spotting
par: Gopal, Vishy, et autres
Publié: (2026)

Estimating the Event-Related Potential from Few EEG Trials
par: Nørskov, Anders Vestergaard, et autres
Publié: (2025)

Chreode: A Cell World Model for One-Step Temporal Dynamics and Perturbation Prediction
par: Qiu, Mufan, et autres
Publié: (2026)

Mathematical modeling of tumor-immune interactions: methods, applications, and future perspectives
par: Li, Chenghang, et autres
Publié: (2025)

Infinitesimal Homeostasis in Mass-Action Systems
par: Jin, Jiaxin, et autres
Publié: (2024)

Host-Aware Control of Gene Expression using Data-Enabled Predictive Control
par: Perreault, Liam, et autres
Publié: (2026)

Bio AI Agent: A Multi-Agent Artificial Intelligence System for Autonomous CAR-T Cell Therapy Development with Integrated Target Discovery, Toxicity Prediction, and Rational Molecular Design
par: Ni, Yi, et autres
Publié: (2025)

Personalized Predictions of Glioblastoma Infiltration: Mathematical Models, Physics-Informed Neural Networks and Multimodal Scans
par: Zhang, Ray Zirui, et autres
Publié: (2023)

Optimizing Indoor Environmental Quality in Smart Buildings Using Deep Learning
par: Sabiri, Youssef, et autres
Publié: (2025)

Sterile Insect Technique in a n-patch system with Allee effect and mass trapping: modeling, analysis and simulations
par: Bliman, Pierre-Alexandre, et autres
Publié: (2025)

Graph Neural Networks for Quantifying Compatibility Mechanisms in Traditional Chinese Medicine
par: Zeng, Jingqi, et autres
Publié: (2024)

Inferring the dynamics of ionic currents from recursive piecewise data assimilation of approximate neuron models
par: Wells, Stephen A., et autres
Publié: (2023)

Artifact Correction for Echo-Planar Imaging at Low-Field and Ultra-Low-Field MRI
par: Qiao, Sisi, et autres
Publié: (2026)

Unifying Physics- and Data-Driven Modeling via Novel Causal Spatiotemporal Graph Neural Network for Interpretable Epidemic Forecasting
par: Han, Shuai, et autres
Publié: (2025)

KEMP-PIP: A Feature-Fusion Based Approach for Pro-inflammatory Peptide Prediction
par: Niloy, Soumik Deb, et autres
Publié: (2026)

A novel approach to differential expression analysis of co-occurrence networks for small-sampled microbiome data
par: Gadhia, Nandini, et autres
Publié: (2024)

RHealthTwin: Towards Responsible and Multimodal Digital Twins for Personalized Well-being
par: Ferdousi, Rahatara, et autres
Publié: (2025)

SCMPPI: Supervised Contrastive Multimodal Framework for Predicting Protein-Protein Interactions
par: XU, Shengrui, et autres
Publié: (2025)

Reaction kinetics of membrane receptors: a spatial modeling approach
par: Cengiz, Anil, et autres
Publié: (2025)

A Macroscopically Consistent Reactive Langevin Dynamics Model
par: Isaacson, Samuel A., et autres
Publié: (2025)

A Simple Approximate Bayesian Inference Neural Surrogate for Stochastic Petri Net Models
par: Manu, Bright Kwaku, et autres
Publié: (2025)

On machine learning analysis of atomic force microscopy images for image classification, sample surface recognition
par: Sokolov, Igor
Publié: (2024)

Deep Learning-based Prediction of Breast Cancer Tumor and Immune Phenotypes from Histopathology
par: Gonçalves, Tiago, et autres
Publié: (2024)

Enhanced Single-Cell RNA-seq Embedding through Gene Expression and Data-Driven Gene-Gene Interaction Integration
par: Goudarzi, Hojjat Torabi, et autres
Publié: (2025)

Biological Modelling with Nonlocal Advection Diffusion Equations
par: Painter, Kevin J, et autres
Publié: (2023)

Calibration of stochastic, agent-based neuron growth models with Approximate Bayesian Computation
par: Duswald, Tobias, et autres
Publié: (2024)

Unassigned distance geometry and the Buckminsterfullerene
par: Liberti, Leo
Publié: (2024)

Deep learning framework for predicting stochastic take-off and die-out of early spreading
par: He, Wenchao, et autres
Publié: (2025)

FedWCM: Unleashing the Potential of Momentum-based Federated Learning in Long-Tailed Scenarios
par: Li, Tianle, et autres
Publié: (2025)

Automating Timed Up and Go Phase Segmentation and Gait Analysis via the tugturn Markerless 3D Pipeline
par: Chinaglia, Abel Gonçalves, et autres
Publié: (2026)

AQUAIR: A High-Resolution Indoor Environmental Quality Dataset for Smart Aquaculture Monitoring
par: Sabiri, Youssef, et autres
Publié: (2025)

A Reanalysis of the FDA's Benefit--Risk Assessment of Moderna's mRNA-1273 COVID Vaccine Based on a Model Incorporating Benefits Derived from Prior COVID Infection
par: Bourdon, Paul S., et autres
Publié: (2024)

A reaction network model of microscale liquid-liquid phase separation reveals effects of spatial dimension
par: Kim, Jinyoung, et autres
Publié: (2024)