Saved in:
| Main Authors: | Lin, Yuxi, Fang, Yaxue, Zhang, Zehong, Liu, Zhouwu, Zhong, Siyun, Wang, Zhongfang, Yu, Fulong |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2507.16801 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
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)
Seq2Bind Webserver for Decoding Binding Hotspots directly from Sequences using Fine-Tuned Protein Language Models
by: Ma, Xiang, et al.
Published: (2025)
by: Ma, Xiang, et al.
Published: (2025)
Interpreting Microbiome Relative Abundance Data Using Symbolic Regression
by: Haldar, Swagatam, et al.
Published: (2024)
by: Haldar, Swagatam, et al.
Published: (2024)
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)
XAI-Driven Deep Learning for Protein Sequence Functional Group Classification
by: Chakraborty, Pratik, et al.
Published: (2025)
by: Chakraborty, Pratik, et al.
Published: (2025)
ProtT-Affinity: Sequence-Based Protein-Protein Binding Affinity Prediction Using ProtT5 Embeddings
by: Lou, Hongfu
Published: (2025)
by: Lou, Hongfu
Published: (2025)
AgentPLM: Agentic Protein Language Models with Reasoning-Augmented Decoding for Protein Sequence Design
by: Rahman, Sahil, et al.
Published: (2026)
by: Rahman, Sahil, et al.
Published: (2026)
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)
DeepProtein: Deep Learning Library and Benchmark for Protein Sequence Learning
by: Xie, Jiaqing, et al.
Published: (2024)
by: Xie, Jiaqing, et al.
Published: (2024)
Mapping Whole Exome Sequencing to In Vivo Imaging with Stereotactic Localization and Deep Learning
by: Servati, Mahsa, et al.
Published: (2024)
by: Servati, Mahsa, et al.
Published: (2024)
Quantifying AI-to-Clinical Translation: The Algorithm-to-Outcome Concordance (AOC) Framework
by: Yu, Xiyao, et al.
Published: (2025)
by: Yu, Xiyao, et al.
Published: (2025)
Protein Representation Learning with Sequence Information Embedding: Does it Always Lead to a Better Performance?
by: Tan, Yang, et al.
Published: (2024)
by: Tan, Yang, et al.
Published: (2024)
Leveraging Transfer Learning and User-Specific Updates for Rapid Training of BCI Decoders
by: Chen, Ziheng, et al.
Published: (2025)
by: Chen, Ziheng, et al.
Published: (2025)
Sequence Analysis Using the Bezier Curve
by: Murad, Taslim, et al.
Published: (2025)
by: Murad, Taslim, et al.
Published: (2025)
NovoBench: Benchmarking Deep Learning-based De Novo Peptide Sequencing Methods in Proteomics
by: Zhou, Jingbo, et al.
Published: (2024)
by: Zhou, Jingbo, et al.
Published: (2024)
Adding a Storage Pool improves 3-PG Tree-ring Simulations
by: Wang, Yanfang, et al.
Published: (2025)
by: Wang, Yanfang, et al.
Published: (2025)
Frequency-Space Mechanics: A Sequence and Coordinate-Free Representation for Protein Function Prediction
by: Reilly, Charles B
Published: (2026)
by: Reilly, Charles B
Published: (2026)
HelixVS: Deep Learning-Enhanced Structure-Based Platform for Screening and Design
by: Zhang, Shanzhuo, et al.
Published: (2025)
by: Zhang, Shanzhuo, et al.
Published: (2025)
Deep Learning for Blood-Brain Barrier Permeability Prediction: From Discriminative Models to Mechanism-Aware Design
by: Yang, Zihan, et al.
Published: (2025)
by: Yang, Zihan, et al.
Published: (2025)
Identifying Cocoa Pollinators: A Deep Learning Dataset
by: Xu, Wenxiu, et al.
Published: (2024)
by: Xu, Wenxiu, et al.
Published: (2024)
Automated Model-Free Sorting of Single-Molecule Fluorescence Events Using a Deep Learning Based Hidden-State Model
by: Zeng, Wenqi, et al.
Published: (2025)
by: Zeng, Wenqi, et al.
Published: (2025)
TemPL: A Novel Deep Learning Model for Zero-Shot Prediction of Protein Stability and Activity Based on Temperature-Guided Language Modeling
by: Tan, Pan, et al.
Published: (2023)
by: Tan, Pan, et al.
Published: (2023)
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)
Integrating Deep Learning and Synthetic Biology: A Co-Design Approach for Enhancing Gene Expression via N-terminal Coding Sequences
by: Yan, Zhanglu, et al.
Published: (2024)
by: Yan, Zhanglu, et al.
Published: (2024)
Explainable Deep Learning Framework for SERS Bio-quantification
by: Zaki, Jihan K., et al.
Published: (2024)
by: Zaki, Jihan K., et al.
Published: (2024)
Explainable Machine Learning and Deep Learning Models for Predicting TAS2R-Bitter Molecule Interactions
by: Ferri, Francesco, et al.
Published: (2024)
by: Ferri, Francesco, et al.
Published: (2024)
Using PyBioNetFit to Leverage Qualitative and Quantitative Data in Biological Model Parameterization and Uncertainty Quantification
by: Miller, Ely F., et al.
Published: (2025)
by: Miller, Ely F., et al.
Published: (2025)
Sleep Disorder Diagnosis Using EEG Signals and LSTM Deep Learning Method
by: Yousefi, Mohammad Reza, et al.
Published: (2025)
by: Yousefi, Mohammad Reza, et al.
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)
GraphAge: Unleashing the power of Graph Neural Network to Decode Epigenetic Aging
by: Ahmed, Saleh Sakib, et al.
Published: (2024)
by: Ahmed, Saleh Sakib, et al.
Published: (2024)
RNA-Protein Interaction Prediction Based on Deep Learning: A Comprehensive Survey
by: Li, Danyu, et al.
Published: (2024)
by: Li, Danyu, et al.
Published: (2024)
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)
GoForth: Language Models for RNA Design under Structure, Sequence, and Coding Constraints
by: Lindsey, Michael
Published: (2026)
by: Lindsey, Michael
Published: (2026)
Optimization of Bloch-Siegert B1 Mapping Sequence for Maximum Signal to Noise
by: Khalighi, M. Mehdi, et al.
Published: (2024)
by: Khalighi, M. Mehdi, et al.
Published: (2024)
An Active Learning Framework for Data-Efficient, Human-in-the-Loop Enzyme Function Prediction
by: Babjac, Ashley, et al.
Published: (2026)
by: Babjac, Ashley, et al.
Published: (2026)
Predicting Postoperative Stroke in Elderly SICU Patients: An Interpretable Machine Learning Model Using MIMIC Data
by: Li, Tinghuan, et al.
Published: (2025)
by: Li, Tinghuan, et al.
Published: (2025)
ANTIPASTI: interpretable prediction of antibody binding affinity exploiting Normal Modes and Deep Learning
by: Michalewicz, Kevin, et al.
Published: (2024)
by: Michalewicz, Kevin, et al.
Published: (2024)
Hierarchical Trait-State Model for Decoding Dyadic Social Interactions
by: Wu, Qianying, et al.
Published: (2024)
by: Wu, Qianying, et al.
Published: (2024)
Evaluation of Country Dietary Habits Using Machine Learning Techniques in Relation to Deaths from COVID-19
by: García-Ordás, María Teresa, et al.
Published: (2024)
by: García-Ordás, María Teresa, et al.
Published: (2024)
Beyond Black Boxes: Enhancing Interpretability of Transformers Trained on Neural Data
by: Freeman, Laurence, et al.
Published: (2025)
by: Freeman, Laurence, et al.
Published: (2025)
Similar Items
-
Identification of Capture Phases in Nanopore Protein Sequencing Data Using a Deep Learning Model
by: Martin, Annabelle, et al.
Published: (2025) -
Seq2Bind Webserver for Decoding Binding Hotspots directly from Sequences using Fine-Tuned Protein Language Models
by: Ma, Xiang, et al.
Published: (2025) -
Interpreting Microbiome Relative Abundance Data Using Symbolic Regression
by: Haldar, Swagatam, et al.
Published: (2024) -
DANCE: Deep Learning-Assisted Analysis of Protein Sequences Using Chaos Enhanced Kaleidoscopic Images
by: Murad, Taslim, et al.
Published: (2024) -
XAI-Driven Deep Learning for Protein Sequence Functional Group Classification
by: Chakraborty, Pratik, et al.
Published: (2025)