Saved in:
| Main Authors: | Niederle, Jonas, Koop, Simon, Pagès-Gallego, Marc, Menkovski, Vlado |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2404.08722 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Deep Neural Cellular Potts Models
by: Minartz, Koen, et al.
Published: (2025)
by: Minartz, Koen, et al.
Published: (2025)
Identification of Capture Phases in Nanopore Protein Sequencing Data Using a Deep Learning Model
by: Martin, Annabelle, et al.
Published: (2025)
by: Martin, Annabelle, et al.
Published: (2025)
CRANE: Correcting Errors in Raw Nanopore Signals Using Hidden Markov Models
by: Ambrozak, Simon, et al.
Published: (2026)
by: Ambrozak, Simon, et al.
Published: (2026)
GROOT: Effective Design of Biological Sequences with Limited Experimental Data
by: Tran, Thanh V. T., et al.
Published: (2024)
by: Tran, Thanh V. T., et al.
Published: (2024)
Optimizing Mirror-Image Peptide Sequence Design for Data Storage via Peptide Bond Cleavage Prediction
by: Lu, Yilong, et al.
Published: (2025)
by: Lu, Yilong, et al.
Published: (2025)
Equivariant Neural Simulators for Stochastic Spatiotemporal Dynamics
by: Minartz, Koen, et al.
Published: (2023)
by: Minartz, Koen, et al.
Published: (2023)
Sequence Analysis Using the Bezier Curve
by: Murad, Taslim, et al.
Published: (2025)
by: Murad, Taslim, et al.
Published: (2025)
FederatedRSF : Federated Random Survival Forests for Partially Overlapping Medical Data
by: Moradpour, Maryam, et al.
Published: (2026)
by: Moradpour, Maryam, et al.
Published: (2026)
XAI-Driven Deep Learning for Protein Sequence Functional Group Classification
by: Chakraborty, Pratik, et al.
Published: (2025)
by: Chakraborty, Pratik, et al.
Published: (2025)
Decoupled Sequence and Structure Generation for Realistic Antibody Design
by: Kim, Nayoung, et al.
Published: (2024)
by: Kim, Nayoung, et al.
Published: (2024)
Enhancing End Stage Renal Disease Outcome Prediction: A Multi-Sourced Data-Driven Approach
by: Li, Yubo, et al.
Published: (2024)
by: Li, Yubo, et al.
Published: (2024)
Is Sequence Information All You Need for Bayesian Optimization of Antibodies?
by: Ober, Sebastian W., et al.
Published: (2025)
by: Ober, Sebastian W., et al.
Published: (2025)
Curriculum-Augmented GFlowNets For mRNA Sequence Generation
by: Laajil, Aya, et al.
Published: (2025)
by: Laajil, Aya, et al.
Published: (2025)
Explicit Path CGR: Maintaining Sequence Fidelity in Geometric Representations
by: Ali, Sarwan
Published: (2025)
by: Ali, Sarwan
Published: (2025)
Multimodal Interpretable Data-Driven Models for Early Prediction of Antimicrobial Multidrug Resistance Using Multivariate Time-Series
by: Martínez-Agüero, Sergio, et al.
Published: (2024)
by: Martínez-Agüero, Sergio, et al.
Published: (2024)
A Universal Non-Parametric Approach For Improved Molecular Sequence Analysis
by: Ali, Sarwan, et al.
Published: (2024)
by: Ali, Sarwan, et al.
Published: (2024)
Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences
by: Kim, Minsu, et al.
Published: (2023)
by: Kim, Minsu, et al.
Published: (2023)
ImmSET: Sequence-Based Predictor of TCR-pMHC Specificity at Scale
by: Noceda, Marco Garcia, et al.
Published: (2026)
by: Noceda, Marco Garcia, et al.
Published: (2026)
SeqProFT: Sequence-only Protein Property Prediction with LoRA Finetuning
by: Zhang, Shuo, et al.
Published: (2024)
by: Zhang, Shuo, et al.
Published: (2024)
Generalists vs. Specialists: Evaluating LLMs on Highly-Constrained Biophysical Sequence Optimization Tasks
by: Chen, Angelica, et al.
Published: (2024)
by: Chen, Angelica, et al.
Published: (2024)
Ankh3: Multi-Task Pretraining with Sequence Denoising and Completion Enhances Protein Representations
by: Alsamkary, Hazem, et al.
Published: (2025)
by: Alsamkary, Hazem, et al.
Published: (2025)
Regressor-guided Diffusion Model for De Novo Peptide Sequencing with Explicit Mass Control
by: Chen, Shaorong, et al.
Published: (2026)
by: Chen, Shaorong, et al.
Published: (2026)
Controllable protein design with particle-based Feynman-Kac steering
by: Hartman, Erik, et al.
Published: (2025)
by: Hartman, Erik, et al.
Published: (2025)
DANCE: Deep Learning-Assisted Analysis of Protein Sequences Using Chaos Enhanced Kaleidoscopic Images
by: Murad, Taslim, et al.
Published: (2024)
by: Murad, Taslim, et al.
Published: (2024)
Scaling Up ESM2 Architectures for Long Protein Sequences Analysis: Long and Quantized Approaches
by: de Oliveira, Gabriel Bianchin, et al.
Published: (2025)
by: de Oliveira, Gabriel Bianchin, et al.
Published: (2025)
Sequence-Only Prediction of Binding Affinity Changes: A Robust and Interpretable Model for Antibody Engineering
by: Liu, Chen, et al.
Published: (2025)
by: Liu, Chen, et al.
Published: (2025)
Simulation-based Inference for Cardiovascular Models
by: Wehenkel, Antoine, et al.
Published: (2023)
by: Wehenkel, Antoine, et al.
Published: (2023)
Simulation-based inference of yeast centromeres
by: Touron, Eloïse, et al.
Published: (2025)
by: Touron, Eloïse, et al.
Published: (2025)
PRISM: Enhancing Protein Inverse Folding through Fine-Grained Retrieval on Structure-Sequence Multimodal Representations
by: Mahbub, Sazan, et al.
Published: (2025)
by: Mahbub, Sazan, et al.
Published: (2025)
Reward-Guided Discrete Diffusion via Clean-Sample Markov Chain for Molecule and Biological Sequence Design
by: Phunyaphibarn, Prin, et al.
Published: (2026)
by: Phunyaphibarn, Prin, et al.
Published: (2026)
Simulation-free Structure Learning for Stochastic Dynamics
by: Rimawi-Fine, Noah El, et al.
Published: (2025)
by: Rimawi-Fine, Noah El, et al.
Published: (2025)
Domain Adaptive and Fine-grained Anomaly Detection for Single-cell Sequencing Data and Beyond
by: Xu, Kaichen, et al.
Published: (2024)
by: Xu, Kaichen, et al.
Published: (2024)
BeeTLe: An Imbalance-Aware Deep Sequence Model for Linear B-Cell Epitope Prediction and Classification with Logit-Adjusted Losses
by: Yuan, Xiao
Published: (2023)
by: Yuan, Xiao
Published: (2023)
GastroDL-Fusion: A Dual-Modal Deep Learning Framework Integrating Protein-Ligand Complexes and Gene Sequences for Gastrointestinal Disease Drug Discovery
by: Gao, Ziyang, et al.
Published: (2025)
by: Gao, Ziyang, et al.
Published: (2025)
A Data-Driven Gaussian Process Filter for Electrocardiogram Denoising
by: Dumitru, Mircea, et al.
Published: (2023)
by: Dumitru, Mircea, et al.
Published: (2023)
A Weighted U Statistic for Genetic Association Analyses of Sequencing Data
by: Wei, Changshuai, et al.
Published: (2015)
by: Wei, Changshuai, et al.
Published: (2015)
Data-Driven Switchback Experiments: Theoretical Tradeoffs and Empirical Bayes Designs
by: Xiong, Ruoxuan, et al.
Published: (2024)
by: Xiong, Ruoxuan, et al.
Published: (2024)
A Real-Time Digital Twin for Type 1 Diabetes using Simulation-Based Inference
by: Hoang, Trung-Dung, et al.
Published: (2025)
by: Hoang, Trung-Dung, et al.
Published: (2025)
Large Language Model is Secretly a Protein Sequence Optimizer
by: Wang, Yinkai, et al.
Published: (2025)
by: Wang, Yinkai, et al.
Published: (2025)
Toward AI-Driven Digital Organism: Multiscale Foundation Models for Predicting, Simulating and Programming Biology at All Levels
by: Song, Le, et al.
Published: (2024)
by: Song, Le, et al.
Published: (2024)
Similar Items
-
Deep Neural Cellular Potts Models
by: Minartz, Koen, et al.
Published: (2025) -
Identification of Capture Phases in Nanopore Protein Sequencing Data Using a Deep Learning Model
by: Martin, Annabelle, et al.
Published: (2025) -
CRANE: Correcting Errors in Raw Nanopore Signals Using Hidden Markov Models
by: Ambrozak, Simon, et al.
Published: (2026) -
GROOT: Effective Design of Biological Sequences with Limited Experimental Data
by: Tran, Thanh V. T., et al.
Published: (2024) -
Optimizing Mirror-Image Peptide Sequence Design for Data Storage via Peptide Bond Cleavage Prediction
by: Lu, Yilong, et al.
Published: (2025)