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PathX-CNN: An Enhanced Explainable Convolutional Neural Network for Survival Prediction and Pathway Analysis in Glioblastoma

2025-01-27

Abstract excerpt

<h4>Motivation</h4> Convolutional neural networks (CNNs) offer potential for analyzing non-grid structured data, such as biological array data, by converting it into image-like formats using principal component analysis (PCA) of pathway genes. However, PCA-derived principal components (PCs) from the entire dataset capture global variance but fail to extract sub-cohort (class-specific) variances. Consequently, CNN...

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Literature Corpus work
aebb4620-7936-5885-bffe-f5e8a67e166d
DOI
10.1101/2025.01.24.634827
Open publication

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PathX-CNN: An Enhanced Explainable Convolutional Neural Network for Survival Prediction and Pathway Analysis in GlioblastomaDOI 10.1101/2025.01.24.634827
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