Using Support Vector Machines to gain insight into the genetic aetiology of schizophrenia
Using Support Vector Machines to gain insight into the genetic aetiology of schizophrenia
Predicting schizophrenia is incredibly hard, and remains a very prominent challenge. Here I present the results of studies where machine learning algorithms have been used to identify if there is evidence of interactions between genetic mutations occurring. The outcomes of using real case/control data is compared with simulated phenotypes to achieve this.
To Catch a Criminal
Using incredibly low resolution CCTV, OpenCV and Python to catch buffoons that crash into cars and drive away. I will talk briefly about performing basic processing on a video and using AutoTrader’s site to find a culprit. Note: You will require your own cheap CCTV to take part, I will provide it for the purpose of this talk.
Would you like to give a talk? Get in touch on Twitter: @Pydiff
Location
This month’s venue is T/2.09 in the School of Computer Science & Informatics. Enter the building at the door off to the left of the main entrance, and follow the awesome signs!