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Prediction with network covariates and applications to brain connectomics.

Jesús Arroyo
Monday, March 19, 2018
12:00-1:00 PM
730 Complex Systems Conference Room Weiser Hall Map
CSAAW WORKSHOP
Abstract:
Motivated by applications in neuroscience, in this talk, I will present some methodology for studying samples of networks. The brain is a system composed of multiple units interacting with each other, and hence it can be represented as a network. Imaging techniques have made possible to analyze the connectivity between regions in the brain using brain networks. Moreover, the availability of data from multiple subjects allows us to study these networks at the population level, which can help us to understand the characteristics of the brain connectivity under different conditions, such as brain disorders. I will talk about classification of networks, and present a method able to identify important nodes for prediction, and supervised community detection, in which the goal is to identify partitions of the nodes that can distinguish between different populations.

PLEASE RSVP AND PROVIDE FOOD PREFERENCES.
https://umich.qualtrics.com/jfe/form/SV_6nC6diSTmwYsdqR
Building: Weiser Hall
Event Type: Workshop / Seminar
Tags: Biointerfaces, Biology
Source: Happening @ Michigan from The Center for the Study of Complex Systems