Learning Subcellular Location from Images and Other Sources of Information
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.