A Brief Review on Deep Learning Applications in Genomic Studies
Xiaoxi Shen, Chang Jiang, Yalu Wen, Chenxi Li, Qing Lu
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.
Topics & Concepts
Deep learningData scienceComputer scienceArtificial intelligenceComputational biologyCognitive scienceBiologyPsychologyGene expression and cancer classificationMachine Learning in BioinformaticsGenetic Associations and Epidemiology