Machine learning meets omics: applications and perspectives

Abstract The innovation of biotechnologies has allowed the accumulation of omics data at an alarming rate, thus introducing the era of ‘big data’. Extracting inherent valuable knowledge from various omics data remains a daunting problem in bioinformatics. Better solutions often need some kind of mor...

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Veröffentlicht in:	Briefings in bioinformatics 2022-01, Vol.23 (1)
Hauptverfasser:	Li, Rufeng, Li, Lixin, Xu, Yungang, Yang, Juan
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial Intelligence Big Data Bioinformatics Computational Biology - methods Computer applications Genomics - methods Learning algorithms Machine Learning Metabolomics Precision medicine Proteomics Proteomics - methods Radiomics Transcriptomics
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