Cover Image

Graph Representation Learning Strategies for Omics Data: A Case Study on Parkinson's Disease

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	de Lope, Elisa Gómez, Deshpande, Saurabh, Torné, Ramón Viñas, Liò, Pietro, Glaab, Enrico, Bordas, Stéphane P. A.
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence Computational Engineering, Finance, and Science Biomolecules Molecular Networks
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Multi-Modal Representation Learning for Molecular Property Prediction: Sequence, Graph, Geometry
by: Wang, Zeyu, et al.
Published: (2024)

MetaboKG: An Analysis-centric Knowledge Graph Framework for Untargeted Metabolomics
by: Féraud, Matthieu, et al.
Published: (2026)

GFlowNets for Learning Better Drug-Drug Interaction Representations
by: Wasi, Azmine Toushik
Published: (2025)

Design of DNA Strand Displacement Reactions
by: Jurinović, Križan, et al.
Published: (2025)

Variant effects on protein-protein interactions: methods, models and diseases
by: Larsen-Ledet, Sven, et al.
Published: (2025)

Multi-variable control to mitigate loads in CRISPRa networks: Extended Version
by: Manoj, Krishna, et al.
Published: (2024)

ProCaliper: functional and structural analysis, visualization, and annotation of proteins
by: Rozum, Jordan C., et al.
Published: (2025)

Competition for binding targets results in paradoxical effects for simultaneous activator and repressor action -- Extended Version
by: Al-Radhawi, M. Ali, et al.
Published: (2024)

Relief of EGFR/FOS-downregulated miR-103a by loganin alleviates NF-kappaB-triggered inflammation and gut barrier disruption in colitis
by: Li, Yan, et al.
Published: (2025)

The Protective Effects of the Ethyl Acetate Part of Er Miao San on Adjuvant Arthritis Rats by Regulating the Function of Bone Marrow-Derived Dendritic Cells
by: Ding, Jie-Min, et al.
Published: (2025)

Graph Representation Learning in Biomedicine
by: Li, Michelle M., et al.
Published: (2021)

The optimization of crop response to climatic stress through modulation of plant stress response mechanisms. Opportunities for biostimulants and plant hormones to meet climate challenges
by: Li, Jing, et al.
Published: (2025)

Challenges and Guidelines in Deep Generative Protein Design: Four Case Studies
by: Zheng, Tianyuan, et al.
Published: (2024)

Single-Cell Proteomic Technologies: Tools in the quest for principles
by: Slavov, Nikolai
Published: (2025)

DeepAutoPIN: An automorphism orbits based deep neural network for characterizing the organizational diversity of protein interactomes across the tree of life
by: Singh, Vikram, et al.
Published: (2022)

Thermodynamic free energy map for the non-oxidative glycolysis pathways
by: Pal, Adittya
Published: (2025)

Selective advantage of aerobic glycolysis over oxidative phosphorylation
by: Vazquez, Alexei
Published: (2024)

ProLLM: Protein Chain-of-Thoughts Enhanced LLM for Protein-Protein Interaction Prediction
by: Jin, Mingyu, et al.
Published: (2024)

When Does Context Help? A Systematic Study of Target-Conditional Molecular Property Prediction
by: Cheng, Bryan, et al.
Published: (2026)

PRING: Rethinking Protein-Protein Interaction Prediction from Pairs to Graphs
by: Zheng, Xinzhe, et al.
Published: (2025)

Score-Based Generative Models for Designing Binding Peptide Backbones
by: Boom, John D, et al.
Published: (2023)

Dihedral Angle Adherence: Evaluating Protein Structure Predictions in the Absence of Experimental Data
by: Azeem, Musa, et al.
Published: (2024)

Elemental Stoichiometry as an Ecological Biosignature with Applications to Life Detection
by: Vergeli, Pilar C., et al.
Published: (2026)

CADGL: Context-Aware Deep Graph Learning for Predicting Drug-Drug Interactions
by: Wasi, Azmine Toushik, et al.
Published: (2024)

Corrected Hill Function in Stochastic Gene Regulatory Networks
by: Hernández-García, Manuel Eduardo, et al.
Published: (2023)

Enlightening the blind spot of the Michaelis-Menten rate law: The role of relaxation dynamics in molecular complex formation
by: Chae, Junghun, et al.
Published: (2024)

Examining the Link Between Peroxiredoxin Proteins and Mutually Exclusive Transcription Factor Activation With a Mathematical Model
by: Schlamowitz, Zachary, et al.
Published: (2024)

MoRSAIK: Sequence Motif Reactor Simulation, Analysis and Inference Kit in Python
by: Harth-Kitzerow, Johannes, et al.
Published: (2025)

Pesti-Gen: Unleashing a Generative Molecule Approach for Toxicity Aware Pesticide Design
by: Kim, Taehan, et al.
Published: (2025)

Relaxation to statistical equilibrium in stochastic Michaelis-Menten kinetics
by: Pal, Subham, et al.
Published: (2021)

Structure-Aware Antibody Design with Affinity-Optimized Inverse Folding
by: Zhao, Xinyan, et al.
Published: (2025)

Zero-Shot 3D Drug Design by Sketching and Generating
by: Long, Siyu, et al.
Published: (2022)

Physicochemically Informed Dual-Conditioned Generative Model of T-Cell Receptor Variable Regions for Cellular Therapy
by: Ma, Jiahao, et al.
Published: (2025)

LSMTCR: A Scalable Multi-Architecture Model for Epitope-Specific T Cell Receptor de novo Design
by: Zhang, Ruihao, et al.
Published: (2025)

ProLLaMA: A Protein Large Language Model for Multi-Task Protein Language Processing
by: Lv, Liuzhenghao, et al.
Published: (2024)

Molecular Dynamics Simulations Reveal PolyQ-Length-Dependent Conformational Changes in Huntingtin Exon-1: Implications for Environmental Co-Solvent Modulation of Aggregation-Prone States
by: Geddes-Nelson, Jai, et al.
Published: (2026)

A Hierarchical Adaptive Diffusion Model for Flexible Protein-Protein Docking
by: Yin, Rujie, et al.
Published: (2025)

CMADiff: Cross-Modal Aligned Diffusion for Controllable Protein Generation
by: Zhou, Changjian, et al.
Published: (2025)

Will More Expressive Graph Neural Networks do Better on Generative Tasks?
by: Zou, Xiandong, et al.
Published: (2023)

gRNAde: Geometric Deep Learning for 3D RNA inverse design
by: Joshi, Chaitanya K., et al.
Published: (2023)