Inhalt

[ 993TALSALSU20 ] UE (*)Artificial Intelligence in Life Sciences

Versionsauswahl
(*) Leider ist diese Information in Deutsch nicht verfügbar.
Workload Ausbildungslevel Studienfachbereich VerantwortlicheR Semesterstunden Anbietende Uni
1,5 ECTS M1 - Master 1. Jahr Informatik Günter Klambauer 1 SSt Johannes Kepler Universität Linz
Detailinformationen
Quellcurriculum Masterstudium Artificial Intelligence 2021W
Ziele (*)This course presents artificial intelligence methods in Life Sciences, concretely in drug discovery, pharmacology, toxicology and bioinformatics. The course will demonstrate the application and use of machine learning in Life Sciences, with the focus on the field of small molecules and drug design. Both theoretical foundations of methods as well as basics of the implementation of those will be given.
Lehrinhalte (*)
  • Basic machine learning (ML) methods in Life Sciences
  • Molecular representations
  • QSAR, chemoinformatics, virtual screening, bioassays
  • ML methods for drug target, activity and toxicity prediction
  • Generative models for molecules
  • Models for chemical reactions
  • Deep neural networks for genomic and transcriptomic data
  • Interpretability
  • Machine learning applications for biological images
Beurteilungskriterien (*)Assignments
Lehrmethoden (*)Presentations, blackboard, code examples, discussoin
Abhaltungssprache Englisch
Literatur (*)Lecture notes, presentation slides, code
Lehrinhalte wechselnd? Nein
Äquivalenzen (*)in collaboration with 993TALSALSV20: VL Artificial Intelligence in Life Sciences (1.5 ECTS) equivalent to
993TALSALSK19: KV Artificial Intelligence in Life Sciences (3 ECTS)
Präsenzlehrveranstaltung
Teilungsziffer 35
Zuteilungsverfahren Direktzuteilung