Saved in:
| Main Authors: | Mizera, Andrzej, Zarzycki, Jakub |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2402.08491 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Graph Neural Network-Based Reinforcement Learning for Controlling Biological Networks - the GATTACA Framework
by: Mizera, Andrzej, et al.
Published: (2025)
by: Mizera, Andrzej, et al.
Published: (2025)
Unveiling Molecular Moieties through Hierarchical Grad-CAM Graph Explainability
by: Contino, Salvatore, et al.
Published: (2024)
by: Contino, Salvatore, et al.
Published: (2024)
PACER: Acyclic Causal Discovery from Large-Scale Interventional Data
by: Torné, Ramon Viñas, et al.
Published: (2026)
by: Torné, Ramon Viñas, et al.
Published: (2026)
Reading the Cell, Designing the Cure: Perturbation-Conditioned Molecular Diffusion for Function-Oriented Drug Design
by: Xu, Ziyu, et al.
Published: (2026)
by: Xu, Ziyu, et al.
Published: (2026)
Investigating Knowledge Distillation Through Neural Networks for Protein Binding Affinity Prediction
by: Abbasi, Wajid Arshad, et al.
Published: (2026)
by: Abbasi, Wajid Arshad, et al.
Published: (2026)
DeepRetro: Retrosynthetic Pathway Discovery using Iterative LLM Reasoning
by: Sathyanarayana, Shreyas Vinaya, et al.
Published: (2025)
by: Sathyanarayana, Shreyas Vinaya, et al.
Published: (2025)
Inference of dynamical gene regulatory networks from single-cell data with physics informed neural networks
by: Mircea, Maria, et al.
Published: (2024)
by: Mircea, Maria, et al.
Published: (2024)
GenAI-Net: A Generative AI Framework for Automated Biomolecular Network Design
by: Filo, Maurice, et al.
Published: (2026)
by: Filo, Maurice, et al.
Published: (2026)
Decoding the dark proteome: Deep learning-enabled discovery of druggable enzymes in Wuchereria bancrofti
by: Shivakumar, Shawnak, et al.
Published: (2025)
by: Shivakumar, Shawnak, et al.
Published: (2025)
STL-based Optimization of Biomolecular Neural Networks for Regression and Control
by: Palanques-Tost, Eric, et al.
Published: (2025)
by: Palanques-Tost, Eric, et al.
Published: (2025)
Product Manifold Representations for Learning on Biological Pathways
by: McNeela, Daniel, et al.
Published: (2024)
by: McNeela, Daniel, et al.
Published: (2024)
drGT: Attention-Guided Gene Assessment of Drug Response Utilizing a Drug-Cell-Gene Heterogeneous Network
by: Inoue, Yoshitaka, et al.
Published: (2024)
by: Inoue, Yoshitaka, et al.
Published: (2024)
Gene Regulatory Network Inference in the Presence of Dropouts: a Causal View
by: Dai, Haoyue, et al.
Published: (2024)
by: Dai, Haoyue, et al.
Published: (2024)
Entropic Matching for Expectation Propagation of Markov Jump Processes
by: Eich, Yannick, et al.
Published: (2023)
by: Eich, Yannick, et al.
Published: (2023)
The CausalBench challenge: A machine learning contest for gene network inference from single-cell perturbation data
by: Chevalley, Mathieu, et al.
Published: (2023)
by: Chevalley, Mathieu, et al.
Published: (2023)
CANA v1.0.0 and schematodes: efficient quantification of symmetry in Boolean automata
by: Marcus, Austin M., et al.
Published: (2024)
by: Marcus, Austin M., et al.
Published: (2024)
Interpretable Neural Approximation of Stochastic Reaction Dynamics with Guaranteed Reliability
by: Badolle, Quentin, et al.
Published: (2025)
by: Badolle, Quentin, et al.
Published: (2025)
Exact Discrete Stochastic Simulation with Deep-Learning-Scale Gradient Optimization
by: Vilar, Jose M. G., et al.
Published: (2026)
by: Vilar, Jose M. G., et al.
Published: (2026)
Dynamicasome: a molecular dynamics-guided and AI-driven pathogenicity prediction catalogue for all genetic mutations
by: Islam, Naeyma N, et al.
Published: (2025)
by: Islam, Naeyma N, et al.
Published: (2025)
Translating and evaluating single-cell Boolean network interventions in the multiscale setting
by: Metzcar, John, et al.
Published: (2025)
by: Metzcar, John, et al.
Published: (2025)
A Novel Graph Transformer Framework for Gene Regulatory Network Inference
by: Teji, Binon, et al.
Published: (2025)
by: Teji, Binon, et al.
Published: (2025)
LANTERN: A Machine Learning Framework for Lipid Nanoparticle Transfection Efficiency Prediction
by: Mehradfar, Asal, et al.
Published: (2025)
by: Mehradfar, Asal, et al.
Published: (2025)
Hierarchical Preemption: A Novel Information-Theoretic Control Mechanism in Lambda Phage Decision-Making
by: Simao, Eugenio
Published: (2025)
by: Simao, Eugenio
Published: (2025)
Modelling Cellular Perturbations with the Sparse Additive Mechanism Shift Variational Autoencoder
by: Bereket, Michael, et al.
Published: (2023)
by: Bereket, Michael, et al.
Published: (2023)
BioCode: A Data-Driven Procedure to Learn the Growth of Biological Networks
by: Sefer, Emre
Published: (2021)
by: Sefer, Emre
Published: (2021)
Sampling from the Solution Space and Metabolic Environments of Genome-Scale Metabolic Models
by: Zafeiropoulos, Haris, et al.
Published: (2026)
by: Zafeiropoulos, Haris, et al.
Published: (2026)
Markovian Promoter Models: A Mechanistic Alternative to Hill Functions in Gene Regulatory Networks
by: Wu, Tianyu
Published: (2025)
by: Wu, Tianyu
Published: (2025)
What Makes a Bacterial Model a Good Reservoir Computer? Predicting Performance from Separability and Similarity
by: Bartolomé, Laura Alonso, et al.
Published: (2026)
by: Bartolomé, Laura Alonso, et al.
Published: (2026)
Transcriptome and Redox Proteome Reveal Temporal Scales of Carbon Metabolism Regulation in Model Cyanobacteria Under Light Disturbance
by: Johnson, Connah G. M., et al.
Published: (2024)
by: Johnson, Connah G. M., et al.
Published: (2024)
Modelling and calibration of pair-rule protein patterns in Drosophila embryo: From Even-skipped and Fushi-tarazu to Wingless expression networks
by: Dias, Catarina, et al.
Published: (2024)
by: Dias, Catarina, et al.
Published: (2024)
DeepProtein: Deep Learning Library and Benchmark for Protein Sequence Learning
by: Xie, Jiaqing, et al.
Published: (2024)
by: Xie, Jiaqing, et al.
Published: (2024)
Understanding Reinforcement Learning-Based Fine-Tuning of Diffusion Models: A Tutorial and Review
by: Uehara, Masatoshi, et al.
Published: (2024)
by: Uehara, Masatoshi, et al.
Published: (2024)
Surrogate modeling of Cellular-Potts Agent-Based Models as a segmentation task using the U-Net neural network architecture
by: Comlekoglu, Tien, et al.
Published: (2025)
by: Comlekoglu, Tien, et al.
Published: (2025)
Deep Learning Model for Amyloidogenicity Prediction using a Pre-trained Protein LLM
by: Yagoub, Zohra, et al.
Published: (2025)
by: Yagoub, Zohra, et al.
Published: (2025)
DeepFM-Crispr: Prediction of CRISPR On-Target Effects via Deep Learning
by: Bao, Condy, et al.
Published: (2024)
by: Bao, Condy, et al.
Published: (2024)
An Update to the SBML Human-Readable Antimony Language
by: Smith, Lucian, et al.
Published: (2024)
by: Smith, Lucian, et al.
Published: (2024)
The evolution of systems biology and systems medicine: From mechanistic models to uncertainty quantification
by: Qiao, Lingxia, et al.
Published: (2024)
by: Qiao, Lingxia, et al.
Published: (2024)
FluxGAT: Integrating Flux Sampling with Graph Neural Networks for Unbiased Gene Essentiality Classification
by: Sharma, Kieren, et al.
Published: (2024)
by: Sharma, Kieren, et al.
Published: (2024)
A compact model of Escherichia coli core and biosynthetic metabolism
by: Corrao, Marco, et al.
Published: (2024)
by: Corrao, Marco, et al.
Published: (2024)
RatGene: Gene deletion-addition algorithms using growth to production ratio for growth-coupled production in constraint-based metabolic networks
by: Ma, Yier, et al.
Published: (2024)
by: Ma, Yier, et al.
Published: (2024)
Similar Items
-
Graph Neural Network-Based Reinforcement Learning for Controlling Biological Networks - the GATTACA Framework
by: Mizera, Andrzej, et al.
Published: (2025) -
Unveiling Molecular Moieties through Hierarchical Grad-CAM Graph Explainability
by: Contino, Salvatore, et al.
Published: (2024) -
PACER: Acyclic Causal Discovery from Large-Scale Interventional Data
by: Torné, Ramon Viñas, et al.
Published: (2026) -
Reading the Cell, Designing the Cure: Perturbation-Conditioned Molecular Diffusion for Function-Oriented Drug Design
by: Xu, Ziyu, et al.
Published: (2026) -
Investigating Knowledge Distillation Through Neural Networks for Protein Binding Affinity Prediction
by: Abbasi, Wajid Arshad, et al.
Published: (2026)