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Whole Exome Sequencing and Machine Learning Germline Analysis of Individuals Presenting with Extreme Phenotypes of High and Low Risk of Developing Tobacco-Associated Lung Adenocarcinoma

Ana Patino-Garcia,Elizabeth Guruceaga,Maria Pilar Andueza,Marimar Ocon,Jafait Junior Fodop Sokoudjou, Nicolas de Villalonga Zornoza,Gorka Alkorta-Aranburu,Ibon Tamayo Uria,Alfonso Gurpide,Carlos Camps,Eloisa Jantus-Lewintre, Maria Navamuel-Andueza,Miguel F. Sanmamed,Ignacio Melero,Mohamed Elgendy,Juan Pablo Fusco, Javier J. Zulueta,Juan P. de-Torres,Gorka Bastarrika, Luis Seijo,Ruben Pio,Luis M. Montuenga,Mikel Hernaez,Idoia Ochoa,Jose Luis Perez-Gracia

EBioMedicine（2024）

Cited 0|Views52
Key words
Cancer risk,Extreme phenotypes,Whole exome sequencing,Tobacco,Lung adenocarcinoma
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