Enhancing Lung Cancer Classification through Integration of Liquid Biopsy Multi-Omics Data with Machine Learning Techniques

SIMPLE SUMMARY: Early lung cancer detection is vital. Next-generation sequencing (NGS) enables cell-free DNA (cfDNA) liquid biopsy to detect genetic changes, such as copy number variations (CNVs). Recent machine learning (ML) analyses using cancer markers can identify anomalies, and developing metho...

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Detalles Bibliográficos
Autores principales: Kwon, Hyuk-Jung, Park, Ui-Hyun, Goh, Chul Jun, Park, Dabin, Lim, Yu Gyeong, Lee, Isaac Kise, Do, Woo-Jung, Lee, Kyoung Joo, Kim, Hyojung, Yun, Seon-Young, Joo, Joungsu, Min, Na Young, Lee, Sunghoon, Um, Sang-Won, Lee, Min-Seob
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10526503/
https://www.ncbi.nlm.nih.gov/pubmed/37760525
http://dx.doi.org/10.3390/cancers15184556

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10526503/
https://www.ncbi.nlm.nih.gov/pubmed/37760525
http://dx.doi.org/10.3390/cancers15184556

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