SoSe 15: Time-evolving networks in medical applications
Heike Siebert
Additional information / Pre-requisites
Zielgruppe:
Studierende im Master-Studiengang Bioinformatik ab dem 2. Semester.
Homepage:
http://www.mi.fu-berlin.de/w/DiBiMath/WebHome closeComments
Inhalt:
Complex networks play a central role in biological modeling. In many medical applications the networks of interest, such as contact networks describing the spread of a disease or molecular networks capturing important cell functions, are not static but change over time. Understanding the way essential network charasteristics evolve temporally often is crucial in the search for control mechanisms to counteract or prohibit detrimental effects and is thus a key challenge in fields such as epidemiology or evolutionary medicine. Within the seminar we will duscuss basic theory, applications and challenges of time-evolving networks in the field of medical research on the basis of recent journal publications.
close14 Class schedule
Regular appointments
Inhalt:
Complex networks play a central role in biological modeling. In many medical applications the networks of interest, such as contact networks describing the spread of a disease or ... read more