GR-19 - SYSTEM BIOLOGY GROUP - SYSBIO
Data mining techniques for classification models of specific plant stimuli
Thesis in external company Thesis abroad
Reference persons GABRIELLA OLMO
External reference persons Prof. Marco Mazza,
University of Applied Sciences of Western Switzerland, CH-1700 Fribourg
Research Groups GR-19 - SYSTEM BIOLOGY GROUP - SYSBIO
Thesis type EXPERIMENTAL
Description Aim of this work is to record electrical signals through a multi-channel electrophysiology biosensor (developed in out University) and then to apply advanced data mining techniques to characterize the signals and develop classification models of specific plant stimuli.
First results show that plant electrophysiology clearly identify the state of the plant and can hence provide useful information to growers.
Open option (to be discussed): we're getting in contact with a Cancer Research Center in Lugano (CHE) to apply the same principle to tumors.
Required skills Signal processing basics, Python programming
Deadline 27/05/2020 PROPONI LA TUA CANDIDATURA