INESC-ID   Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento em Lisboa
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Knowledge Discovery and Bioinformatics
Inesc-ID Lisboa

Learning Subcellular Location from Images and Other Sources of Information

02/10/2012 - 14:30
02/10/2012 - 15:30

Subcellular location is an important property of proteins, carefully regulated
by the cells. 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).

This is 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. 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.