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Article

Integrating image and gene-data with a semi-supervised attention model for prediction of KRAS gene mutation status in non-small cell lung cancer.

PloS one - 1 Jan 2024

Xue Yuting, Zhang Dongxu, Jia Liye, Yang Wanting, Zhao Juanjuan, Qiang Yan, Wang Long, Qiao Ying, Yue Huajie

Abstract excerpt

KRAS is a pathogenic gene frequently implicated in non-small cell lung cancer (NSCLC). However, biopsy as a diagnostic method has practical limitations. Therefore, it is important to accurately determine the mutation status of the KRAS gene non-invasively by combining NSCLC CT images and genetic data for early diagnosis and subsequent targeted therapy of patients. This paper proposes a Semi-supervised Multimodal...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Source

Open in PubMed Open full text

Identifiers

PMID: 38466735
DOI: 10.1371/journal.pone.0297331
PMCID: PMC10927133

Genes

KRAS

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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