A talk by Dr. Nora B. Caberoy from Nevada Institute of Personalized Medicine, University of Nevada.
Held usually at 3:30pm on Fridays, TGIF discussions are informal talks on current scientific topics and events.
This talk focuses functional inference of confirmed influenza A host factors whose role(s) in the infection are not clear. Here, we explore the impact of various parameters on network neighbourhood approaches in functional elucidation. In particular, we investigate the sources of degeneracy and false positives for solutions obtained from two integrative protein-protein interaction databases, STRING (http://string-db.org) and HIPPIE (http://cbdm-01.zdv.uni-mainz.de/~mschaefer/hippie/). Finally, we present edge- and vertex-annotation-based filtering solutions that restrict the graph to the most context-relevant network neighbourhoods.