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Open Access

Peer-reviewed

Research Article

A hybrid feature extraction framework combining PCA and mutual information for gene expression based lung cancer classification

Syed Naseer Ahmad Shah ,

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Resources, Validation, Visualization, Writing – original draft, Writing – review & editing

* E-mail: syeddnaseer@gmail.com

Affiliation Department of Computer Science, Jamia Millia Islamia, New Delhi, India

https://orcid.org/0000-0002-3189-4217

⨯
Kaartik Issar,

Roles Formal analysis, Funding acquisition, Methodology, Project administration, Validation, Visualization, Writing – original draft, Writing – review & editing

Affiliation Department of Computer Science, University of Toronto, Canada
⨯
Rafat Parveen

Roles Conceptualization, Data curation, Resources, Software, Supervision, Writing – original draft, Writing – review & editing

Affiliation Department of Computer Science, Jamia Millia Islamia, New Delhi, India
⨯

A hybrid feature extraction framework combining PCA and mutual information for gene expression based lung cancer classification

Syed Naseer Ahmad Shah,
Kaartik Issar,
Rafat Parveen

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Published: February 5, 2026
https://doi.org/10.1371/journal.pone.0342160

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Lung and intrathoracic tumors
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Gene expression
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Principal component analysis
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Cancer detection and diagnosis
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Non-small cell lung cancer
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Cancers and neoplasms
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Adenocarcinoma
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Extraction techniques
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