BeeTLe: An Imbalance-Aware Deep Sequence Model for Linear B-Cell Epitope Prediction and Classification with Logit-Adjusted Losses
Fuente:
arXiv
Saved in:
| Main Author: | Yuan, Xiao |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Accelerating MHC-II Epitope Discovery via Multi-Scale Prediction in Antigen Presentation
by: Wan, Yue, et al.
Published: (2025)
by: Wan, Yue, et al.
Published: (2025)
SGAC: A Graph Neural Network Framework for Imbalanced and Structure-Aware AMP Classification
by: Wang, Yingxu, et al.
Published: (2024)
by: Wang, Yingxu, et al.
Published: (2024)
Improving Paratope and Epitope Prediction by Multi-Modal Contrastive Learning and Interaction Informativeness Estimation
by: Wang, Zhiwei, et al.
Published: (2024)
by: Wang, Zhiwei, et al.
Published: (2024)
Tipping the Balance: Impact of Class Imbalance Correction on the Performance of Clinical Risk Prediction Models
by: Andersen, Amalie Koch, et al.
Published: (2026)
by: Andersen, Amalie Koch, et al.
Published: (2026)
Relation-Aware Equivariant Graph Networks for Epitope-Unknown Antibody Design and Specificity Optimization
by: Wu, Lirong, et al.
Published: (2024)
by: Wu, Lirong, et al.
Published: (2024)
Comparative Analysis of Data Preprocessing Methods, Feature Selection Techniques and Machine Learning Models for Improved Classification and Regression Performance on Imbalanced Genetic Data
by: Kaur, Arshmeet, et al.
Published: (2024)
by: Kaur, Arshmeet, et al.
Published: (2024)
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)
XAI-Driven Deep Learning for Protein Sequence Functional Group Classification
by: Chakraborty, Pratik, et al.
Published: (2025)
by: Chakraborty, Pratik, 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)
Donor-Aware scRNA-seq Benchmarks for IBD Classification
by: Muhire, Jonathan
Published: (2026)
by: Muhire, Jonathan
Published: (2026)
Molecular Odor Prediction with Harmonic Modulated Feature Mapping and Chemically-Informed Loss
by: Xie, HongXin, et al.
Published: (2025)
by: Xie, HongXin, et al.
Published: (2025)
Drug-Target Interaction/Affinity Prediction: Deep Learning Models and Advances Review
by: Vefghi, Ali, et al.
Published: (2025)
by: Vefghi, Ali, et al.
Published: (2025)
scPPDM: A Diffusion Model for Single-Cell Drug-Response Prediction
by: Liang, Zhaokang, et al.
Published: (2025)
by: Liang, Zhaokang, et al.
Published: (2025)
Virtual Cells: Predict, Explain, Discover
by: Noutahi, Emmanuel, et al.
Published: (2025)
by: Noutahi, Emmanuel, et al.
Published: (2025)
SeqProFT: Sequence-only Protein Property Prediction with LoRA Finetuning
by: Zhang, Shuo, et al.
Published: (2024)
by: Zhang, Shuo, 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)
DPASyn: Mechanism-Aware Drug Synergy Prediction via Dual Attention and Precision-Aware Quantization
by: Nie, Yuxuan, et al.
Published: (2025)
by: Nie, Yuxuan, et al.
Published: (2025)
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)
Multimodal Survival Modeling and Fairness-Aware Clinical Machine Learning for 5-Year Breast Cancer Risk Prediction
by: Khatibi, Toktam
Published: (2026)
by: Khatibi, Toktam
Published: (2026)
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)
PRESCRIBE: Predicting Single-Cell Responses with Bayesian Estimation
by: Cheng, Jiabei, et al.
Published: (2025)
by: Cheng, Jiabei, et al.
Published: (2025)
Efficient Fine-Tuning of Single-Cell Foundation Models Enables Zero-Shot Molecular Perturbation Prediction
by: Maleki, Sepideh, et al.
Published: (2024)
by: Maleki, Sepideh, et al.
Published: (2024)
PGraphDTA: Improving Drug Target Interaction Prediction using Protein Language Models and Contact Maps
by: Bal, Rakesh, et al.
Published: (2023)
by: Bal, Rakesh, et al.
Published: (2023)
Graph-Based Bidirectional Transformer Decision Threshold Adjustment Algorithm for Class-Imbalanced Molecular Data
by: Hayes, Nicole, et al.
Published: (2024)
by: Hayes, Nicole, et al.
Published: (2024)
FAFE: Immune Complex Modeling with Geodesic Distance Loss on Noisy Group Frames
by: Wu, Ruidong, et al.
Published: (2024)
by: Wu, Ruidong, et al.
Published: (2024)
Predicting Drug Solubility Using Different Machine Learning Methods -- Linear Regression Model with Extracted Chemical Features vs Graph Convolutional Neural Network
by: Ho, John, et al.
Published: (2023)
by: Ho, John, et al.
Published: (2023)
SMILES-Mamba: Chemical Mamba Foundation Models for Drug ADMET Prediction
by: Xu, Bohao, et al.
Published: (2024)
by: Xu, Bohao, et al.
Published: (2024)
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)
Departures: Distributional Transport for Single-Cell Perturbation Prediction with Neural Schrödinger Bridges
by: Chi, Changxi, et al.
Published: (2025)
by: Chi, Changxi, et al.
Published: (2025)
FlowCyt: A Comparative Study of Deep Learning Approaches for Multi-Class Classification in Flow Cytometry Benchmarking
by: Bini, Lorenzo, et al.
Published: (2024)
by: Bini, Lorenzo, 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)
Sequence Analysis Using the Bezier Curve
by: Murad, Taslim, et al.
Published: (2025)
by: Murad, Taslim, 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)
Deep Neural Cellular Potts Models
by: Minartz, Koen, et al.
Published: (2025)
by: Minartz, Koen, et al.
Published: (2025)
CellFluxRL: Biologically-Constrained Virtual Cell Modeling via Reinforcement Learning
by: Wu, Dongxia, et al.
Published: (2026)
by: Wu, Dongxia, et al.
Published: (2026)
Mixing Vector Model for Copolymer Inference via Mixed Integer Linear Programming
by: Zhu, Jianshen, et al.
Published: (2026)
by: Zhu, Jianshen, et al.
Published: (2026)
Research on Adverse Drug Reaction Prediction Model Combining Knowledge Graph Embedding and Deep Learning
by: Li, Yufeng, et al.
Published: (2024)
by: Li, Yufeng, et al.
Published: (2024)
VADA: a Data-Driven Simulator for Nanopore Sequencing
by: Niederle, Jonas, et al.
Published: (2024)
by: Niederle, Jonas, et al.
Published: (2024)
Decoupled Sequence and Structure Generation for Realistic Antibody Design
by: Kim, Nayoung, et al.
Published: (2024)
by: Kim, Nayoung, et al.
Published: (2024)
Compositional Deep Probabilistic Models of DNA Encoded Libraries
by: Chen, Benson, et al.
Published: (2023)
by: Chen, Benson, et al.
Published: (2023)
Similar Items
-
Accelerating MHC-II Epitope Discovery via Multi-Scale Prediction in Antigen Presentation
by: Wan, Yue, et al.
Published: (2025) -
SGAC: A Graph Neural Network Framework for Imbalanced and Structure-Aware AMP Classification
by: Wang, Yingxu, et al.
Published: (2024) -
Improving Paratope and Epitope Prediction by Multi-Modal Contrastive Learning and Interaction Informativeness Estimation
by: Wang, Zhiwei, et al.
Published: (2024) -
Tipping the Balance: Impact of Class Imbalance Correction on the Performance of Clinical Risk Prediction Models
by: Andersen, Amalie Koch, et al.
Published: (2026) -
Relation-Aware Equivariant Graph Networks for Epitope-Unknown Antibody Design and Specificity Optimization
by: Wu, Lirong, et al.
Published: (2024)