Deep-Learning Algorithm and Concomitant Biomarker Identification for NSCLC Prediction Using Multi-Omics Data Integration

Deep-Learning Algorithm and Concomitant Biomarker Identification for NSCLC Prediction Using Multi-Omics Data Integration

Early diagnosis of lung cancer to increase the survival rate, which is currently at a low range of mid-30%, remains a critical need. Despite this, multi-omics data have rarely been applied to non-small-cell lung cancer (NSCLC) diagnosis. We developed a multi-omics data-affinitive artificial intellig...

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Bibliographic Details
Main Authors: Min-Koo Park, Jin-Muk Lim, Jinwoo Jeong, Yeongjae Jang, Ji-Won Lee, Jeong-Chan Lee, Hyungyu Kim, Euiyul Koh, Sung-Joo Hwang, Hong-Gee Kim, Keun-Cheol Kim
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Biomolecules
Subjects:
non-small-cell lung cancer
deep learning
graph convolutional network
cancer prediction
biomarker
gene ontology enrichment
Online Access:https://www.mdpi.com/2218-273X/12/12/1839

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