Ben Brett will Present His Research on August 22, 2013

Ben’s Abstract:
 
Network Biology- Precomputing pairwise connections between genes using network reliability algorithms

Purpose: Cancer is a complex disease caused by many somatic mutations. Cancer is often the result of random mutations. Random mutations can be classified as driver (causative) and passenger (non-causative) mutations. Differentiation between the driver mutations and passenger mutations is extremely difficult in human cancers due to the complexity of the disease and mutations.  In addition, understanding the mechanisms of these genes is confounded by the rarity of many cancer genes. Network biology has been used to attempt to understand the relationship between genes and the possible shared functions of these genes. However, these networks are incomplete and often only contain well-characterized connections, making it difficult to identify more distantly connected genes.

Methods: A relatedness network was created utilizing network reliability algorithms.  The relatedness of genes is the reliability of the connection between two genes. This was determined using the Edge-Packing Bounds algorithm with maximum of 4 intermediate genes, maximum of 5 paths, and minimum edge weight of 50%. This network was used to determine the relatedness between genes. By combining multiple independent paths we can better visualize and identify the connections between two genes.

Discussion: By combining these independent paths, we increase the number of pairwise comparisons from ~518,000 to ~51 million. This is mainly due to the addition of indirect connections between genes. When we use this information on pathways, we see an increase of strongly connected genes.

Advertisements

Posted on August 22, 2013, in Student Seminar and tagged . Bookmark the permalink. Leave a comment.

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s

%d bloggers like this: