Download - Text Mining in Biomedical Research
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TEXT MINING IN BIOMEDICAL RESEARCHQI LI03/28/14
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REFERENCES
1. http://en.wikipedia.org/wiki/Text_mining2. D. Rebholz-Schuhmann et al., Text-mining solutions
for biomedical research: enabling integrative biology, Nature Reviews Genetics 13, 829-839 (December 2012)
3. R. King et al., The Automation of Science, Science 324, 85 (2009)
4. http://www.aber.ac.uk/~dcswww/Research/bio/robotsci/
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THE USUAL WAY BIOMEDICAL RESEARCH IS DONE• Read a lot of papers on a topic• Propose one or more hypotheses• Design a series of experiments• Perform the experiments• Prove or disprove the hypotheses• Publish the results on a journal
Pic: http://www1.plymouth.ac.uk/courses/undergraduate/0732/pages/coursedetail.aspx
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WHY DO WE NEED TEXT MINING• Scientists publish papers, not relations or
data instances• We need to reconstruct the knowledge out of
the publications• Then, computers will be able to help us
analyze the knowledge base, probably bringing us new ideas
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OVERVIEW OF THE PROCESS
Figure: Text-mining solutions for biomedical research: enabling integrative biology [2]
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SOME OF THE TECHNIQUES
Figure: Text-mining solutions for biomedical research: enabling integrative biology [2]
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ONE PROTOTYPE APPLICATION: ROBOT SCIENTIST “ADAM”
Pics: http://www.aber.ac.uk/en/cs/research/cb/projects/robotscientist/pictures/
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NOT JUST EXPERIMENTS: HYPOTHESES GENERATION, TOO• Gather information from a knowledge base• Propose hypotheses• Design a series of experiments• Run the experiments physically• Interpret the results• Publish the results on a journal (NOT YET)
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SEE IT IN ACTION!
• http://www.aber.ac.uk/en/cs/research/cb/projects/robotscientist/video/
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THANK YOU!