Collaboration-based function prediction in protein-protein interaction networks

author: Hossein Rahmani, Leiden Institute of Advanced Computer Science, Leiden University
published: Nov. 8, 2010,   recorded: October 2010,   views: 310
Categories

Slides

Related content

Report a problem or upload files

If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Lecture popularity: You need to login to cast your vote.
  Delicious Bibliography

Description

We consider the problem of predicting the functions of individual proteins in protein-protein interaction (PPI) networks. Existing techniques assume that proteins that are topologically close in the network tend to have similar functions. We hypothesize that better predictive accuracy can be obtained by generalizing this assumption. We call two functions collaborative if proteins with one function often interact with proteins performing the other function. Our hypothesis is that techniques that extract such function collaboration information from networks, and exploit it, can yield better predictions.We propose and evaluate two such techniques. A comparative evaluation on three S. cerevisiae interaction networks, at different levels of detail, shows that the new techniques consistently improve over state of the art function prediction techniques, with improvements in F-measure ranging from 3% to 17%.

See Also:

Download slides icon Download slides: mlsb2010_rahmani_cbf_01.pdf (2.2┬áMB)


Help icon Streaming Video Help

Link this page

Would you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !

Write your own review or comment:

make sure you have javascript enabled or clear this field: