Journal article
Deep Learning in Bioinformatics and Biomedicine
Methods (San Diego, Calif.), v 209, pp 38-39
Jan 2023
PMID: 36503039
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Recent advances in molecular biology and medical sciences have led to the accumulation of massive amounts of biomedical data. Due to its inherent complexity and the lack of a general theory at both molecular and physiological levels, mining such volume of data to extract relevant knowledge requires careful model design considerations and various Deep Learning models hold great promise in this endeavour. [1st paragraph]
Metrics
Details
- Title
- Deep Learning in Bioinformatics and Biomedicine
- Creators
- Haiying Wang - University of UlsterXiaohua Hu - Drexel University, Information Science
- Publication Details
- Methods (San Diego, Calif.), v 209, pp 38-39
- Publisher
- Elsevier
- Number of pages
- 2
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000902128700002
- Scopus ID
- 2-s2.0-85146139815
- Other Identifier
- 991019364220804721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Biochemical Research Methods
- Biochemistry & Molecular Biology