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Deep Learning in Genomic Research by Bùi Hào is a document available to read on EtoBox.

This review discusses the applications of deep learning in genomic studies, highlighting its ability to capture complex features in genomic data. It covers key concepts in supervised, unsupervised, and semi-supervised learning, as well as popular deep learning methods and their relevance to genomic research. The paper also addresses current challenges and future perspectives in the field of genomic research using deep learning techniques.

Author
Bùi Hào
Language
EN