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Hybrid Attention Capsule Network for the Detection of Alzheimer's Disease-Associated Gene Expression Profiles
ID：12 View Protection：ATTENDEE Updated Time：2026-07-28 21:49:17 Hits：23 Online

Start Time：2026-07-30 11:55（Asia/Kolkata）

Duration：15min

Session：S4 Computer Vision and Pattern Recognition » S4-1Computer Vision and Pattern Recognition

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Abstract
The goal of gene signature analysis in gene expression data is to correlate variations in the degree of expression of certain genes with the presence or absence of specific gene expressions. However, there are challenges because microarray databases are high dimensional and the sample count is limited. The study aims to investigate deep learning (DL) techniques, particularly neural networks, to predict Alzheimer's disease using gene expression data. First, the input gene expression data is pre-processed employing Z-score normalization and Missing value imputation methods. The most effective characteristics are then selected using the Chebyshev Pufferfish Algorithm (CPA), which reduces dimensionality. The proposed model introduces a novel Depthwise Separable Convolutional Attention-based Chi-Squared Capsule Network (DSCA-CSCN) for analyzing AD gene expressions using gene expression data. The proposed framework presents an integrated architecture that combines several effective techniques to enable simultaneous enhancement of gene expression discrimination and reduction of computational complexity in high-dimensional gene expression data. Furthermore, the Explainable AI method (XAI) analyzes the interactions between various attributes that can be conveniently captured and displayed using SHapley Additive Explanations (SHAP). The proposed framework attains accuracy (98%), precision (97.41%), recall (97.75%), f1-score (96.17%) and specificity (97.25%).
Keywords
Gene Expression Data,Alzheimer;s disease,pre-processing,Chebyshev Pufferfish Algorithm (CPA),Depthwise Separable Convolutional Attention based Chi-Squared Capsule Network (DSCA-CSCN),SHapley Additive exPlanations (SHAP)
Speaker
Remyamol K.M
- Cochin University of Science and Technology

Submission Author
Remyamol K.M Cochin University of Science and Technology
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Important Date

  • Conference Date

    Jul 30

    2026

    to

    Aug 01

    2026

  • Jul 28 2026

    Registration deadline

  • Jul 30 2026

    Draft paper submission deadline

Sponsored By
The United Societies of Science
Organized By
Kongunadu College of Engineering and Technology
Supported By
IEEE Section
IEEE Madras Section
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