GeNetFormer: Transformer-Based Framework for Gene Expression Prediction in Breast Cancer

GeNetFormer: Transformer-Based Framework for Gene Expression Prediction in Breast Cancer

<i>Background:</i> Histopathological images are often used to diagnose breast cancer and have shown high accuracy in classifying cancer subtypes. Prediction of gene expression from whole-slide images and spatial transcriptomics data is important for cancer treatment in general and breast...

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Bibliographic Details
Main Authors: Oumeima Thaalbi, Moulay A. Akhloufi
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:AI
Subjects:
spatial transcriptomics
gene expression prediction
breast cancer
transformer architectures
H&E-stained histology images
multivariate regression
Online Access:https://www.mdpi.com/2673-2688/6/3/43
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https://www.mdpi.com/2673-2688/6/3/43

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