Machine Learning in Cardiovascular Genomics, Proteomics, and Drug Discovery

Onderzoeksoutput: ChapterAcademic

Samenvatting

This chapter discusses the current status and challenges in applying machine learning in three closely connected fields, namely genomics, proteomics and drug discovery. Usage of machine learning methods are described and compared in the context of respective fields through selected literature. The current performance of implemented machine learning methods is described in comparison to traditional statistical methods. Finally, this chapter discusses potential future perspectives for implementation of machine learning in the genomics, proteomics and drug discovery.
Originele taal-2English
TitelMachine Learning in Cardiovascular Medicine
RedacteurenSubhi Al'Aref, Gurpreet Singh, Lohendran Baskaran, Dimitri Metaxas
UitgeverijAcademic Press
Hoofdstuk14
Pagina's325-352
Aantal pagina's28
Uitgave1
ISBN van elektronische versie9780128202746
ISBN van geprinte versie9780128202739
StatusPublished - 27-nov-2020

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