Biomedical Data Mining
BME 351 Blockkurs FS 2024
Credits: Credits: 6 ECTS; maximum number of participants: 12;
FS 2024; Block: 3.6. – 21.6.2024
Supervisors:
PD Dr. Katja Baerenfaller http://www.siaf.uzh.ch/molecular_allergology_katja.html
PD Dr. Milena Sokolowska http://www.siaf.uzh.ch/immune_metabolism.html
Prof. Dr. Christoph Messner https://www.precisionproteomicsdavos.com
The learning target of this block course is to enable students to mine large and complex biomedical datasets with the aim to identify biologically relevant information. The course will be held one week on-site in Davos and 2 weeks online with lectures and regular tutorials via Microsoft Teams or Zoom. During the course, the students will work on real experimental data of current research projects in the laboratory working on lists of tasks to guide them through the process. They will get lectures on Transcriptomics, Proteomics and Flow Cytometry that are used in the laboratory to generate biomedical datasets, and introductions into the use of literature information, different databases and a variety of analysis tools. By the end of the course, a report needs to be handed in together with information on the data mining efforts.
Costs: Housing in Davos will be refunded (up to a certain limit) by UZH.
Prerequisites: The course is open for Master or advanced Bachelor students of Biomedicine and Biology (basic studies in Biology or Biomedicine must be completed). Scripting with R will be part of the course; a completed course on using R is therefore recommended, but not mandatory.
Registration: through the university registration tool or to katja.baerenfaller@siaf.uzh.ch.
