323103 VU Data science approaches for advancing drug discovery - MPS5 (2019S)
Prüfungsimmanente Lehrveranstaltung
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Sprache: Englisch
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Termine
Dear students!
We will meet on March 8, at 10 am in seminar room 2D 313 in order to discuss the content, structure and the dates for the VU.Best regards,Barbara Zdrazil and Lars RichterInformation
Ziele, Inhalte und Methode der Lehrveranstaltung
Art der Leistungskontrolle und erlaubte Hilfsmittel
Written exam at the end of the VU;
Active contribution during the Practical part
Active contribution during the Practical part
Mindestanforderungen und Beurteilungsmaßstab
Written exam at the end of the VU;
Active contribution during the Practical part;
Presence at the 8 lectures and 4 practical units;
material for further reading will be pointed to in each individual lecture
Active contribution during the Practical part;
Presence at the 8 lectures and 4 practical units;
material for further reading will be pointed to in each individual lecture
Prüfungsstoff
Content of the lectures and the material for further reading
Literatur
Zuordnung im Vorlesungsverzeichnis
Letzte Änderung: Mi 20.02.2019 09:48
- VO 3: Statistics for data sciences: Distributions, correlations, hypothesis testing
- VO 4: Basics of statistical learning
- VO 5: Chemical Data: chemical structure representations, chemical descriptors
- VO 6: Cheminformatics approaches in drug discovery
- VO 7: Data sources, data integration: ChEMBL, OpenPHACTS
- VO 8: Database scheme/structures, Data queryingPredictive Modelling with R/KNIME (Practical part):- UE 1: QSAR and machine learning in KNIME
- UE 2: Pathway/disease analysis in KNIME
- UE 3: Applied Cheminformatics in R
- UE 4: Data analyses and data visualization in R