Submitted by suominn2 on January 4, 2017 - 08:50
Lecturer :
Juho Rousu
Event type:
Event
Event time:
2017-01-23 09:15 to 10:00
Place:
Seminar room T5, CS building, Konemiehentie 2, Otaniemi
Description:
Helsinki region machine learning researchers will start our week by an exciting machine learning talk and discussion over coffee. The talks will start 9:15, with coffee served from 9:00. This week's talk is:
Metabolite identification through machine learning
Juho Rousu
Associate Professor, Aalto University
Abstract:
Identification of small molecules from biological samples remains a major bottleneck in understanding the inner working of biological cells and their environment. Machine learning on data from large public databases of tandem mass spectrometric data has transformed this field in recent years, witnessing an increase of identification rates by 150%. In this presentation, I will outline the key machine learning methods behind this development: kernel-based learning of molecular fingerprints, multiple kernel learning, structured prediction as well as some recent advances.
The next talk is:
30.1. at 9:15 in Kumpula Exactum D123: Jukka Corander "Likelihood-free inference and predictions for computational epidemiology”
Last updated on 13 Jan 2017 by Noora Suominen de Rios - Page created on 4 Jan 2017 by Noora Suominen de Rios