Machine Learning in Cardiovascular Genomics, Proteomics, and Drug Discovery

Research output: Chapter in Book/Report/Conference proceedingChapterAcademic

1 Citation (Scopus)

Abstract

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.
Original languageEnglish
Title of host publicationMachine Learning in Cardiovascular Medicine
EditorsSubhi Al'Aref, Gurpreet Singh, Lohendran Baskaran, Dimitri Metaxas
PublisherAcademic Press
Chapter14
Pages325-352
Number of pages28
Edition1
ISBN (Electronic)9780128202746
ISBN (Print)9780128202739
Publication statusPublished - 27-Nov-2020

Cite this