Enregistré dans:
| Auteurs principaux: | Mizera, Andrzej, Zarzycki, Jakub |
|---|---|
| Format: | Preprint |
| Publié: |
2024
|
| Sujets: | |
| Accès en ligne: | https://arxiv.org/abs/2402.08491 |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Graph Neural Network-Based Reinforcement Learning for Controlling Biological Networks - the GATTACA Framework
par: Mizera, Andrzej, et autres
Publié: (2025)
par: Mizera, Andrzej, et autres
Publié: (2025)
Unveiling Molecular Moieties through Hierarchical Grad-CAM Graph Explainability
par: Contino, Salvatore, et autres
Publié: (2024)
par: Contino, Salvatore, et autres
Publié: (2024)
PACER: Acyclic Causal Discovery from Large-Scale Interventional Data
par: Torné, Ramon Viñas, et autres
Publié: (2026)
par: Torné, Ramon Viñas, et autres
Publié: (2026)
Reading the Cell, Designing the Cure: Perturbation-Conditioned Molecular Diffusion for Function-Oriented Drug Design
par: Xu, Ziyu, et autres
Publié: (2026)
par: Xu, Ziyu, et autres
Publié: (2026)
Investigating Knowledge Distillation Through Neural Networks for Protein Binding Affinity Prediction
par: Abbasi, Wajid Arshad, et autres
Publié: (2026)
par: Abbasi, Wajid Arshad, et autres
Publié: (2026)
DeepRetro: Retrosynthetic Pathway Discovery using Iterative LLM Reasoning
par: Sathyanarayana, Shreyas Vinaya, et autres
Publié: (2025)
par: Sathyanarayana, Shreyas Vinaya, et autres
Publié: (2025)
Inference of dynamical gene regulatory networks from single-cell data with physics informed neural networks
par: Mircea, Maria, et autres
Publié: (2024)
par: Mircea, Maria, et autres
Publié: (2024)
GenAI-Net: A Generative AI Framework for Automated Biomolecular Network Design
par: Filo, Maurice, et autres
Publié: (2026)
par: Filo, Maurice, et autres
Publié: (2026)
Decoding the dark proteome: Deep learning-enabled discovery of druggable enzymes in Wuchereria bancrofti
par: Shivakumar, Shawnak, et autres
Publié: (2025)
par: Shivakumar, Shawnak, et autres
Publié: (2025)
STL-based Optimization of Biomolecular Neural Networks for Regression and Control
par: Palanques-Tost, Eric, et autres
Publié: (2025)
par: Palanques-Tost, Eric, et autres
Publié: (2025)
Product Manifold Representations for Learning on Biological Pathways
par: McNeela, Daniel, et autres
Publié: (2024)
par: McNeela, Daniel, et autres
Publié: (2024)
drGT: Attention-Guided Gene Assessment of Drug Response Utilizing a Drug-Cell-Gene Heterogeneous Network
par: Inoue, Yoshitaka, et autres
Publié: (2024)
par: Inoue, Yoshitaka, et autres
Publié: (2024)
Gene Regulatory Network Inference in the Presence of Dropouts: a Causal View
par: Dai, Haoyue, et autres
Publié: (2024)
par: Dai, Haoyue, et autres
Publié: (2024)
Entropic Matching for Expectation Propagation of Markov Jump Processes
par: Eich, Yannick, et autres
Publié: (2023)
par: Eich, Yannick, et autres
Publié: (2023)
The CausalBench challenge: A machine learning contest for gene network inference from single-cell perturbation data
par: Chevalley, Mathieu, et autres
Publié: (2023)
par: Chevalley, Mathieu, et autres
Publié: (2023)
CANA v1.0.0 and schematodes: efficient quantification of symmetry in Boolean automata
par: Marcus, Austin M., et autres
Publié: (2024)
par: Marcus, Austin M., et autres
Publié: (2024)
Interpretable Neural Approximation of Stochastic Reaction Dynamics with Guaranteed Reliability
par: Badolle, Quentin, et autres
Publié: (2025)
par: Badolle, Quentin, et autres
Publié: (2025)
Exact Discrete Stochastic Simulation with Deep-Learning-Scale Gradient Optimization
par: Vilar, Jose M. G., et autres
Publié: (2026)
par: Vilar, Jose M. G., et autres
Publié: (2026)
Dynamicasome: a molecular dynamics-guided and AI-driven pathogenicity prediction catalogue for all genetic mutations
par: Islam, Naeyma N, et autres
Publié: (2025)
par: Islam, Naeyma N, et autres
Publié: (2025)
Translating and evaluating single-cell Boolean network interventions in the multiscale setting
par: Metzcar, John, et autres
Publié: (2025)
par: Metzcar, John, et autres
Publié: (2025)
A Novel Graph Transformer Framework for Gene Regulatory Network Inference
par: Teji, Binon, et autres
Publié: (2025)
par: Teji, Binon, et autres
Publié: (2025)
LANTERN: A Machine Learning Framework for Lipid Nanoparticle Transfection Efficiency Prediction
par: Mehradfar, Asal, et autres
Publié: (2025)
par: Mehradfar, Asal, et autres
Publié: (2025)
Hierarchical Preemption: A Novel Information-Theoretic Control Mechanism in Lambda Phage Decision-Making
par: Simao, Eugenio
Publié: (2025)
par: Simao, Eugenio
Publié: (2025)
Modelling Cellular Perturbations with the Sparse Additive Mechanism Shift Variational Autoencoder
par: Bereket, Michael, et autres
Publié: (2023)
par: Bereket, Michael, et autres
Publié: (2023)
BioCode: A Data-Driven Procedure to Learn the Growth of Biological Networks
par: Sefer, Emre
Publié: (2021)
par: Sefer, Emre
Publié: (2021)
Sampling from the Solution Space and Metabolic Environments of Genome-Scale Metabolic Models
par: Zafeiropoulos, Haris, et autres
Publié: (2026)
par: Zafeiropoulos, Haris, et autres
Publié: (2026)
Markovian Promoter Models: A Mechanistic Alternative to Hill Functions in Gene Regulatory Networks
par: Wu, Tianyu
Publié: (2025)
par: Wu, Tianyu
Publié: (2025)
What Makes a Bacterial Model a Good Reservoir Computer? Predicting Performance from Separability and Similarity
par: Bartolomé, Laura Alonso, et autres
Publié: (2026)
par: Bartolomé, Laura Alonso, et autres
Publié: (2026)
Transcriptome and Redox Proteome Reveal Temporal Scales of Carbon Metabolism Regulation in Model Cyanobacteria Under Light Disturbance
par: Johnson, Connah G. M., et autres
Publié: (2024)
par: Johnson, Connah G. M., et autres
Publié: (2024)
Modelling and calibration of pair-rule protein patterns in Drosophila embryo: From Even-skipped and Fushi-tarazu to Wingless expression networks
par: Dias, Catarina, et autres
Publié: (2024)
par: Dias, Catarina, et autres
Publié: (2024)
DeepProtein: Deep Learning Library and Benchmark for Protein Sequence Learning
par: Xie, Jiaqing, et autres
Publié: (2024)
par: Xie, Jiaqing, et autres
Publié: (2024)
Understanding Reinforcement Learning-Based Fine-Tuning of Diffusion Models: A Tutorial and Review
par: Uehara, Masatoshi, et autres
Publié: (2024)
par: Uehara, Masatoshi, et autres
Publié: (2024)
Surrogate modeling of Cellular-Potts Agent-Based Models as a segmentation task using the U-Net neural network architecture
par: Comlekoglu, Tien, et autres
Publié: (2025)
par: Comlekoglu, Tien, et autres
Publié: (2025)
Deep Learning Model for Amyloidogenicity Prediction using a Pre-trained Protein LLM
par: Yagoub, Zohra, et autres
Publié: (2025)
par: Yagoub, Zohra, et autres
Publié: (2025)
DeepFM-Crispr: Prediction of CRISPR On-Target Effects via Deep Learning
par: Bao, Condy, et autres
Publié: (2024)
par: Bao, Condy, et autres
Publié: (2024)
An Update to the SBML Human-Readable Antimony Language
par: Smith, Lucian, et autres
Publié: (2024)
par: Smith, Lucian, et autres
Publié: (2024)
The evolution of systems biology and systems medicine: From mechanistic models to uncertainty quantification
par: Qiao, Lingxia, et autres
Publié: (2024)
par: Qiao, Lingxia, et autres
Publié: (2024)
FluxGAT: Integrating Flux Sampling with Graph Neural Networks for Unbiased Gene Essentiality Classification
par: Sharma, Kieren, et autres
Publié: (2024)
par: Sharma, Kieren, et autres
Publié: (2024)
A compact model of Escherichia coli core and biosynthetic metabolism
par: Corrao, Marco, et autres
Publié: (2024)
par: Corrao, Marco, et autres
Publié: (2024)
RatGene: Gene deletion-addition algorithms using growth to production ratio for growth-coupled production in constraint-based metabolic networks
par: Ma, Yier, et autres
Publié: (2024)
par: Ma, Yier, et autres
Publié: (2024)
Documents similaires
-
Graph Neural Network-Based Reinforcement Learning for Controlling Biological Networks - the GATTACA Framework
par: Mizera, Andrzej, et autres
Publié: (2025) -
Unveiling Molecular Moieties through Hierarchical Grad-CAM Graph Explainability
par: Contino, Salvatore, et autres
Publié: (2024) -
PACER: Acyclic Causal Discovery from Large-Scale Interventional Data
par: Torné, Ramon Viñas, et autres
Publié: (2026) -
Reading the Cell, Designing the Cure: Perturbation-Conditioned Molecular Diffusion for Function-Oriented Drug Design
par: Xu, Ziyu, et autres
Publié: (2026) -
Investigating Knowledge Distillation Through Neural Networks for Protein Binding Affinity Prediction
par: Abbasi, Wajid Arshad, et autres
Publié: (2026)