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What and Who
Title:Function and Phenotype Prediction through Data and Knowledge Fusion
Speaker:Prof. Karin Verspoor
coming from:University of Melbourne
Speakers Bio:http://textminingscience.com/content/karin-verspoor

Karin Verspoor is an Associate Professor in the University of Melbourne's Department of Computing and Information Systems. She was previously a Principal Researcher at National ICT Australia's Victoria Research Lab, and served as the Scientific Director for the Health and Life Sciences Business Area within NICTA. .

Karin's background is in computational linguistics, which aims to build software that tries to "understand" the meaning conveyed by text at some level. Her research has focused primarily on the interaction of linguistic processing with world knowledge (usually represented in some sort of hierarchical, ontological structure), and the implications of this for the representation of linguistic knowledge, specifically at the lexical level

Event Type:MPI-Kolloquium
Visibility:D1, D2, D3, D4, D5, SWS, RG1, MMCI
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Level:Public Audience
Language:English
Date, Time and Location
Date:Tuesday, 2 August 2016
Time:11:00
Duration:120 Minutes
Location:Saarbrücken
Building:E1 4
Room:024
Abstract
The biomedical literature captures the most current biomedical knowledge and is a tremendously rich resource for research. With over 24 million publications currently indexed in the US National Library of Medicine’s PubMed index, however, it is becoming increasingly challenging for biomedical researchers to keep up with this literature. Automated strategies for extracting information from it are required. Large-scale processing of the literature enables direct biomedical knowledge discovery. In this presentation, I will introduce the use of text mining techniques to support analysis of biological data sets, and will specifically discuss applications in protein function and phenotype prediction, as well as analysis of genetic variants, that are supported by analysis of the literature and integration with complementary structured resources.
Contact
Name(s):Daniela Alessi
Phone:5000
EMail:--email address not disclosed on the web
Video Broadcast
Video Broadcast:NoTo Location:
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Created by:Daniela Alessi/MPI-INF, 07/28/2016 02:06 PMLast modified by:Uwe Brahm/MPII/DE, 11/24/2016 04:13 PM
  • Daniela Alessi, 07/28/2016 02:08 PM -- Created document.