Cover Image

DANCE: Deep Learning-Assisted Analysis of Protein Sequences Using Chaos Enhanced Kaleidoscopic Images

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Murad, Taslim, Chourasia, Prakash, Ali, Sarwan, Khan, Imdad Ullah, Patterson, Murray
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Quantitative Methods
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Sequence Analysis Using the Bezier Curve
by: Murad, Taslim, et al.
Published: (2025)

A Universal Non-Parametric Approach For Improved Molecular Sequence Analysis
by: Ali, Sarwan, et al.
Published: (2024)

Neuromorphic Spiking Neural Network Based Classification of COVID-19 Spike Sequences
by: Murad, Taslim, et al.
Published: (2024)

Hilbert Curve Based Molecular Sequence Analysis
by: Ali, Sarwan, et al.
Published: (2024)

Position Specific Scoring Is All You Need? Revisiting Protein Sequence Classification Tasks
by: Ali, Sarwan, et al.
Published: (2024)

Explicit Path CGR: Maintaining Sequence Fidelity in Geometric Representations
by: Ali, Sarwan
Published: (2025)

Sequence-to-Image Transformation for Sequence Classification Using Rips Complex Construction and Chaos Game Representation
by: Ali, Sarwan, et al.
Published: (2025)

Multi-Scale Reversible Chaos Game Representation: A Unified Framework for Sequence Classification
by: Ali, Sarwan, et al.
Published: (2026)

Computing Gram Matrix for SMILES Strings using RDKFingerprint and Sinkhorn-Knopp Algorithm
by: Ali, Sarwan, et al.
Published: (2024)

DeepProtein: Deep Learning Library and Benchmark for Protein Sequence Learning
by: Xie, Jiaqing, 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)

ProtT-Affinity: Sequence-Based Protein-Protein Binding Affinity Prediction Using ProtT5 Embeddings
by: Lou, Hongfu
Published: (2025)

Nearest Neighbor CCP-Based Molecular Sequence Analysis
by: Ali, Sarwan, et al.
Published: (2024)

Scoring-Assisted Generative Exploration for Proteins (SAGE-Prot): A Framework for Multi-Objective Protein Optimization via Iterative Sequence Generation and Evaluation
by: Lim, Hocheol, et al.
Published: (2025)

RNA-Protein Interaction Prediction Based on Deep Learning: A Comprehensive Survey
by: Li, Danyu, et al.
Published: (2024)

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

Mapping Whole Exome Sequencing to In Vivo Imaging with Stereotactic Localization and Deep Learning
by: Servati, Mahsa, et al.
Published: (2024)

Ankh3: Multi-Task Pretraining with Sequence Denoising and Completion Enhances Protein Representations
by: Alsamkary, Hazem, et al.
Published: (2025)

Murmur2Vec: A Hashing Based Solution For Embedding Generation Of COVID-19 Spike Sequences
by: Ali, Sarwan, et al.
Published: (2025)

Decoding Translation-Related Functional Sequences in 5'UTRs Using Interpretable Deep Learning Models
by: Lin, Yuxi, et al.
Published: (2025)

Linguistic Laws Meet Protein Sequences: A Comparative Analysis of Subword Tokenization Methods
by: Suyunu, Burak, et al.
Published: (2024)

Uncovering Hierarchical Structure in LLM Embeddings with $δ$-Hyperbolicity, Ultrametricity, and Neighbor Joining
by: Chourasia, Prakash, et al.
Published: (2025)

Expanding Chemical Representation with k-mers and Fragment-based Fingerprints for Molecular Fingerprinting
by: Ali, Sarwan, et al.
Published: (2024)

A Fusion-Driven Approach of Attention-Based CNN-BiLSTM for Protein Family Classification -- ProFamNet
by: Ali, Bahar, et al.
Published: (2024)

Boosting t-SNE Efficiency for Sequencing Data: Insights from Kernel Selection
by: Jan, Avais, et al.
Published: (2025)

Scaling Up ESM2 Architectures for Long Protein Sequences Analysis: Long and Quantized Approaches
by: de Oliveira, Gabriel Bianchin, 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)

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)

FAPS: A Fast Platform for Protein Structureomics Analysis
by: Wilken, Lucas, 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)

Frequency-Space Mechanics: A Sequence and Coordinate-Free Representation for Protein Function Prediction
by: Reilly, Charles B
Published: (2026)

Protein Representation Learning with Sequence Information Embedding: Does it Always Lead to a Better Performance?
by: Tan, Yang, et al.
Published: (2024)

AgentPLM: Agentic Protein Language Models with Reasoning-Augmented Decoding for Protein Sequence Design
by: Rahman, Sahil, et al.
Published: (2026)

Non-Contact and Non-Destructive Detection of Structural Defects in Bioprinted Constructs Using Video-Based Vibration Analysis
by: Rahman, Md Anisur, 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)

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)

FoldSAE: Learning to Steer Protein Folding Through Sparse Representations
by: Zarzecki, Wojciech, et al.
Published: (2025)

Persistent Sheaf Laplacian Analysis of Protein Flexibility
by: Hayes, Nicole, et al.
Published: (2025)

Converting Time Series Data to Numeric Representations Using Alphabetic Mapping and k-mer strategy
by: Ali, Sarwan, et al.
Published: (2024)

Beyond Current Boundaries: Integrating Deep Learning and AlphaFold for Enhanced Protein Structure Prediction from Low-Resolution Cryo-EM Maps
by: Xin, et al.
Published: (2024)