Using feature selection and Bayesian network identify cancer subtypes based on proteomic data

The Cancer Proteome Atlas (TCPA) project collects reverse-phase protein arrays (RPPA)-based proteome datasets from nearly 8000 samples across 32 cancer types. This study aims to investigate the pan-cancer proteome signature and identify cancer subtypes of glioma, kidney cancer, and lung cancer based...

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Veröffentlicht in:	Journal of proteomics 2023-05, Vol.280, p.104895, Article 104895
Hauptverfasser:	Wang, Yangyang, Gao, Xiaoguang, Ru, Xinxin, Sun, Pengzhan, Wang, Jihan
Format:	Artikel
Sprache:	eng
Schlagworte:	algorithms Bayes Theorem Bayesian network (BN) Bayesian theory biomarkers Biomarkers, Tumor - metabolism Cancer subtype carcinogenesis Carcinoma, Renal Cell data collection Feature selection Glioma Humans Kidney Neoplasms Lung Neoplasms phenotype protein synthesis proteome Proteome - metabolism proteomics Proteomics - methods The Cancer Proteome Atlas (TCPA)
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