[seminarios-mlpb] Reminder: seminar talk NOW! (Note: EA1 instead of PA2)
- From: Andre Martins <afm+@xxxxxxxxxx>
- To: seminarios-mlpb@xxxxxxxxxxxxx
- Date: Tue, 12 Jun 2012 12:30:22 +0100
REMINDER: there is a seminar talk in 30 minutes. Free food will be provided.
(Note the unusual venue: EA1 instead of PA2!)
***********************************************************************
Priberam Machine Learning Lunch Seminar
Speaker: Luis Pedro Coelho (IMM)
Venue: IST Alameda, Sala EA1 (Torre Norte)
Date: Tuesday, June 12th, 2012
Time: 13:00
Lunch will be provided
Title: Modeling Subcellular Location from Images and Other Sources of
Information
Abstract:
Subcellular location is an important property of proteins, carefully
regulated by the cell machinery. To determine subcellular location on a
proteome-wide scale, fluorescent image data is most commonly used and a
classification system is employed for analysis. These systems assign
each protein to one of a small set of predefined location classes
(typically the major organelles).
Too often, in the past, the performance of classification was evaluated
on datasets which contained multiple images of the same protein as
representative of a class. I will argue that this is overly optimistic
and generalises poorly.
On the second part of my talk, I will discuss how classification implies
a limited representation of the underlying biology as proteins are often
in multiple organelles. I will present techniques that go beyond the
case of single location assignment to fractional assignment. These
techniques were applied on a large collection of images of fluorescently
tagged mouse proteins, which included several proteins for which no
location assignment had been previously reported in the literature.
This work was performed at Carnegie Mellon University with Prof. Robert
F. Murphy and Dr. Tao Peng.
--
Bio: Luis Pedro Coelho is post-doctoral researcher at the Institute for
Molecular Medicine in Lisbon (Portugal). He works in understanding
chromatin organization in Plasmodium, the malaria-causing parasite. His
work is involves both lab biology and computational modeling.
Luis holds a PhD in computational biology from Carnegie Mellon
University. His doctoral research consisted of modeling images from
fluorescent microsocpy. The models he developed integrate several
sources of image and non-image information into a single model. Also at
CMU, he was involved in the Structure Literature Image Finder (SLIF)
project, a project which mined the academic literature using both the
text of the papers and the images therein. This project was one of the
finalists in the Elsevier Grand Challenge. Luis also holds a BS and an
MS from Instituto Superior Técnico, in Lisbon. His MS research was on
learning from noisy data with Bayesian networks. He is a Fulbright
Scholar, a Siebel Scholar, and has won multiple awards for academic or
research excellence.
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