Quantitative analysis of high‐throughput biological data

The study of multiple “omes,” such as the genome, transcriptome, proteome, and metabolome has become widespread in biomedical research. High‐throughput techniques enable the rapid generation of high‐dimensional multiomics data. This multiomics approach provides a more complete perspective to study b...

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Bibliographic Details
Published in:	Wiley interdisciplinary reviews. Computational molecular science Vol. 13; no. 4; pp. e1658 - n/a
Main Authors:	Juan, Hsueh‐Fen, Huang, Hsuan‐Cheng
Format:	Journal Article
Language:	English
Published:	Hoboken, USA Wiley Periodicals, Inc 01.07.2023 Wiley Subscription Services, Inc
Subjects:	Analysis Artificial intelligence Biological data biological network Biomedical data Data analysis data integration Data science Genomes Machine learning Medical research multiomics data Network analysis Proteomes Proteomics Quantitative analysis single‐cell transcriptomics Transcriptomes Transcriptomics
ISSN:	1759-0876, 1759-0884
Online Access:	Get full text
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