:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Sainsbury, Chris, Dong, Feng, Karwath, Andreas
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence Quantitative Methods
Online Access:	https://arxiv.org/abs/2605.04071
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Sparse Autoencoder Decomposition of Clinical Sequence Model Representations: Feature Complexity, Task Specialisation, and Mortality Prediction
by: Sainsbury, Chris, et al.
Published: (2026)

Autoregressive Enzyme Function Prediction with Multi-scale Multi-modality Fusion
by: Rong, Dingyi, et al.
Published: (2024)

Protein Autoregressive Modeling via Multiscale Structure Generation
by: Qu, Yanru, et al.
Published: (2026)

Latent Diffusion Models for Controllable RNA Sequence Generation
by: Huang, Kaixuan, et al.
Published: (2024)

Improving PTM Site Prediction by Coupling of Multi-Granularity Structure and Multi-Scale Sequence Representation
by: Li, Zhengyi, et al.
Published: (2024)

A Weighted U Statistic for Genetic Association Analyses of Sequencing Data
by: Wei, Changshuai, et al.
Published: (2015)

Beyond Sequence: Impact of Geometric Context for RNA Property Prediction
by: Xu, Junjie, et al.
Published: (2024)

Incorporating Metabolic Information into LLMs for Anomaly Detection in Clinical Time-Series
by: Rahman, Maxx Richard, et al.
Published: (2024)

MEXA-CTP: Mode Experts Cross-Attention for Clinical Trial Outcome Prediction
by: Zhang, Yiqing, et al.
Published: (2025)

Llama-Affinity: A Predictive Antibody Antigen Binding Model Integrating Antibody Sequences with Llama3 Backbone Architecture
by: Hossain, Delower, et al.
Published: (2025)

Limitations of Sequence-Based Protein Representations for Parkinson's Disease Classification: A Leakage-Free Benchmark
by: Núñez-Prado, César Jesús, et al.
Published: (2026)

PGCLODA: Prompt-Guided Graph Contrastive Learning for Oligopeptide-Infectious Disease Association Prediction
by: Tan, Dayu, et al.
Published: (2025)

Property-Isometric Variational Autoencoders for Sequence Modeling and Design
by: Sadeghi, Elham, et al.
Published: (2025)

PhysioSeq2Seq: A Hybrid Physiological Digital Twin and Sequence-to-Sequence LSTM for Long-Horizon Glucose Forecasting in Type 1 Diabetes
by: Tran, Phat, et al.
Published: (2026)

Large Language Model is Secretly a Protein Sequence Optimizer
by: Wang, Yinkai, et al.
Published: (2025)

Binding Affinity Prediction: From Conventional to Machine Learning-Based Approaches
by: Liu, Xuefeng, et al.
Published: (2024)

DeepProtein: Deep Learning Library and Benchmark for Protein Sequence Learning
by: Xie, Jiaqing, et al.
Published: (2024)

XAI-Driven Deep Learning for Protein Sequence Functional Group Classification
by: Chakraborty, Pratik, et al.
Published: (2025)

Inference-Time Alignment in Diffusion Models with Reward-Guided Generation: Tutorial and Review
by: Uehara, Masatoshi, et al.
Published: (2025)

Hierarchical Molecular Representation Learning via Fragment-Based Self-Supervised Embedding Prediction
by: Wu, Jiele, et al.
Published: (2026)

A Comprehensive Review of Transformer-based language models for Protein Sequence Analysis and Design
by: Ghosh, Nimisha, 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)

Fusing Sequence Motifs and Pan-Genomic Features: Antimicrobial Resistance Prediction using an Explainable Lightweight 1D CNN-XGBoost Ensemble
by: Siddiqui, Md. Saiful Bari, et al.
Published: (2025)

Pseudodata-guided Invariant Representation Learning Boosts the Out-of-Distribution Generalization in Enzymatic Kinetic Parameter Prediction
by: Wu, Haomin, et al.
Published: (2026)

DCFold: Efficient Protein Structure Generation with Single Forward Pass
by: Zhang, Zhe, et al.
Published: (2026)

ASCENDgpt: A Phenotype-Aware Transformer Model for Cardiovascular Risk Prediction from Electronic Health Records
by: Sainsbury, Chris, et al.
Published: (2025)

SCOPE-DTI: Semi-Inductive Dataset Construction and Framework Optimization for Practical Usability Enhancement in Deep Learning-Based Drug Target Interaction Prediction
by: Chen, Yigang, et al.
Published: (2025)

Deep Learning-Based Hypoglycemia Classification Across Multiple Prediction Horizons
by: Cinar, Beyza, et al.
Published: (2025)

Learning Explainable Imaging-Genetics Associations Related to a Neurological Disorder
by: Wang, Jueqi, et al.
Published: (2025)

Large Language Models in Drug Discovery and Development: From Disease Mechanisms to Clinical Trials
by: Zheng, Yizhen, et al.
Published: (2024)

MoFormer: Multi-objective Antimicrobial Peptide Generation Based on Conditional Transformer Joint Multi-modal Fusion Descriptor
by: Wang, Li, et al.
Published: (2024)

SynCraft: Guiding Large Language Models to Predict Edit Sequences for Molecular Synthesizability Optimization
by: Li, Junren, et al.
Published: (2025)

Neural Diffusion Processes for Physically Interpretable Survival Prediction
by: Cristofoletto, Alessio, et al.
Published: (2025)

Improving Diseases Predictions Utilizing External Bio-Banks
by: Pinto, Hido, et al.
Published: (2025)

LLMs for Drug-Drug Interaction Prediction: A Comprehensive Comparison
by: De Vito, Gabriele, et al.
Published: (2025)

VQSynery: Robust Drug Synergy Prediction With Vector Quantization Mechanism
by: Wu, Jiawei, et al.
Published: (2024)

A Large Sensor Foundation Model Pretrained on Continuous Glucose Monitor Data for Diabetes Management
by: Luo, Junjie, et al.
Published: (2024)

TrialMatchAI: An End-to-End AI-powered Clinical Trial Recommendation System to Streamline Patient-to-Trial Matching
by: Abdallah, Majd, et al.
Published: (2025)

Uncertainty-Aware Metabolic Stability Prediction with Dual-View Contrastive Learning
by: Guo, Peijin, et al.
Published: (2025)

Topology-Aware Multiscale Mixture of Experts for Efficient Molecular Property Prediction
by: Nguyen, Long D., et al.
Published: (2026)