Identification of Key MicroRNAs and Genes between Colorectal Adenoma and Colorectal Cancer via Deep Learning on GEO Databases and Bioinformatics.

Journal: Contrast media & molecular imaging

Published Date: Feb 5, 2023

Abstract

BACKGROUND: Deep learning techniques are gaining momentum in medical research. Colorectal adenoma (CRA) is a precancerous lesion that may develop into colorectal cancer (CRC) and its etiology and pathogenesis are unclear. This study aims to identify transcriptome differences between CRA and CRC via deep learning on Gene Expression Omnibus (GEO) databases and bioinformatics in the Chinese population.

Authors

Xin Zhang

First Department of Infectious Diseases, The First Affiliated Hospital of China Medical University, Shenyang, China.
Mingxin Jin

Department of General Surgery, Qilu Hospital of Shandong University, 107 Wenhuaxi Road, Jinan 250012, Shandong, China.
Fengjun Liu

Department of Radiology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Hui Qu
Cheng Chen

Key Laboratory of Precision and Intelligent Chemistry, School of Chemistry and Materials Science, University of Science and Technology of China, China.

Keywords

Adenoma Colorectal Neoplasms Computational Biology Deep Learning Gene Expression Profiling Gene Expression Regulation, Neoplastic Gene Regulatory Networks Humans MicroRNAs

External Resources

View on PubMed Access via DOI PubMed (36793496)

Identification of Key MicroRNAs and Genes between Colorectal Adenoma and Colorectal Cancer via Deep Learning on GEO Databases and Bioinformatics.

Abstract

Authors

Keywords

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