Medical Systems Biology

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Einführung in die Bioinformatik(Informatik/ Mathematische Biometrie) 

Dozent: Prof. Dr. Hans A. Kestler
  Prof. Dr. Enno Ohlebusch
  Dr. Karlheinz Holzmann
  mit M. Sc. Robin Szekely
Code

 

CS6012.000

 

 

 

 


Aktuelles


Die Vorlesung findet wöchentlich mittwochs 08:30 - 10:00 Uhr in Raum 123 in O27 statt.

Die Übung findet alle zwei Wochen freitags 14:00 - 16:00 Uhr in Raum 121 in O27 statt, beginnend am 03. November 2017.

Am 26. Januar 2018 findet keine Übung statt. Die nächste Übung findet demnach am 02. Februar 2018 statt. 

Die Fragestunde findet in der letzten Übung am Freitag, 16.02.2018, 14:00 Uhr statt.

 

Die Klausur findet Dienstag, den 27.02.2018 ab 10:00 Uhr statt. Hörsaal: H1

Die Klausureinsicht findet Freitag, den 16.03.2018 von 15:00 bis 16:00 Uhr  in O27/5116 (Besprechungsraum) statt.  

Die Nachklausur findet Dienstag, den 10.04.2018 ab 10:00 Uhr statt. Hörsaal: H21

Die Klausureinsicht zur Nachklausur findet Donnerstag, den 26.04.2018 von 15:00 bis 16:00 Uhr in O27/5116 (Besprechungsraum) statt.

 

Latest News

 

The position paper "Is there a role for statistics in artificial intelligence" has been published online first in Advances in Data Analysis and Classification.

 

Our paper "Corona Health - A Study- and Sensor-Based Mobile App Platform Exploring Aspects of the COVID-19 Pandemic" has been published in the International Journal of Environmental Research and Public Health.

 

Our paper "Patient empowerment during the COVID-19 pandemic: Ensuring safe and fast communication of test results" has been published in the Journal of Medical Internet Research.

 

Our paper "Perspective on mHealth Concepts to Ensure Users’ Empowerment–From Adverse Event Tracking for COVID-19 Vaccinations to Oncological Treatment" has been published in IEEE Access.

 

Our paper "Capturing dynamic relevance in Boolean networks using graph theoretical measures" has been published online first in Bioinformatics.

 

Our report protocol "Digitalization of adverse event management in oncology to improve treatment outcome—A prospective study protocol" has been published in PLoS One.

 

We are happy we could contribute to Beutel et al (2021) "A prospective Feasibility Trial to Challenge Patient-Derived Pancreatic Cancer Organoids in Predicting Treatment Response" published in MDPI Cancers.