Information theory for data analysis in biology

Speaker(s)

Miron Kursa

Affiliation

ICM UW

Date

June 15, 2022, 12:15 p.m.

Information about the event

4060 oraz https://us02web.zoom.us/j/89788218933?pwd=aVc2UHdwRWMwZy8yK24rQTJWRW42QT09 Meeting ID: 897 8821 8933 Passcode: Biomat

Seminar

Seminar of Biomathematics and Game Theory Group

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One of the key outputs of Shannon's information theory is that it gave as a framework for quantifying dependence, which is in turn crucial for a robust identification actual mechanisms in the chaos of reality.
On the other hand, it shifted many practical issues of modelling into the estimation realm, especially when higher order reasoning is required. 
In my talk, I will present a novel approach into estimating information measures tailored toward typical biological data, as well as some current work devoted to network inference.

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