Andrey Rzhetsky:Text-mining, Modeling, Pathways and Human Disease
Posted by: d6brown, in SeminarsSpeaker: Andrey Rzhetsky,
Department of Medicine, Department of Human Genetics, Computation Institute, Institute for Genomics
& Systems Biology, University of Chicago
When: Mon., October 20, 2008, 4 pm
Where: CNSI Auditorium
Abstract
The information overload in molecular biology is a mere example of the status common to all fields of the current science and culture: An ever-strengthening avalanche of novel data and ideas overwhelms specialists and non-specialists alike, unavoidably fragments knowledge, and makes enormous chunks of knowledge invisible/inaccessible to those who desperately need it.
The help of relieving the information overload may come from the text-miners who can automatically extract and catalogue facts described in books and journals.
My talk will touch the following six questions: What is text-mining? In what ways is text-mining useful? What can large-scale analyses of scientific literature tell us about both active and forgotten knowledge? What can such analyses tells us about the scientific community itself? How do mathematical models help us to differentiate true and false statements in literature? How will text-mining help us to find cures for human and non-human maladies?
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