Deep Pseudogene Categorization and Genome-Wide Transcription Prediction Using GANP-Based Feature Selection and TabNet Interpretability

Deep Pseudogene Categorization and Genome-Wide Transcription Prediction Using GANP-Based Feature Selection and TabNet Interpretability

Pseudogenes, once regarded as genomic relics, have emerged as critical regulators of gene expression, influencing cancer, neurodegenerative disorders, and developmental processes. This study introduces an advanced framework for pseudogene classification, leveraging deep learning to address the chall...

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Bibliographic Details
Main Authors: Zeeshan Ahmed, Kashif Munir, Muhammad Usama Tanveer, Syed Rizwan Hassan, Ateeq Ur Rehman, Habib Hamam
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Pseudogene classification
transcriptome analysis
explainable artificial intelligence
deep learning
bioinformatics
AI tools
Online Access:https://ieeexplore.ieee.org/document/11071306/
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https://ieeexplore.ieee.org/document/11071306/

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