Work

A Brief Review on Deep Learning Applications in Genomic Studies

Year: 2022

Type: article

Abstract: Deep learning is a powerful tool for capturing complex structures within the data. It holds great promise for genomic research due to its capacity of learning complex features in genomic data. In this paper, we provide a brief review on deep learning techniques and various applications of deep learning to genomic studies. We also briefly mention current challenges and future perspectives on using emerging deep learning techniques for ongoing and future genomic research.

Source: Frontiers in Systems Biology

DOI: 10.3389/fsysb.2022.877717

Authors: Xiaoxi Shen, Chang Jiang, Yalu Wen, Chenxi Li, Qing Lu

Institutions: Texas State University, University of Florida, University of Auckland, Michigan State University

Language: English

Topic: Machine Learning in Bioinformatics

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: gold

Estimated APC paid: $1,900

Funder: National Institutes of Health