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SUMMARY:Study disease-causing genes based on protein-protein interaction n
 etworks - Phuong Nguyen\, CoSBi
DTSTART:20090520T100000Z
DTEND:20090520T110000Z
UID:TALK14757@talks.cam.ac.uk
CONTACT:Dr Fabien Petitcolas
DESCRIPTION:*Abstract*: Discovering the human genes that cause disease (or
  ``disease genes") is one of the emerging tasks in biomedicine informatics
 . In many ongoing research projects\, protein-protein interaction networks
  (PPI networks) are being exploited in the discovery process\, because the
  network-neighbor of a disease gene is likely to cause the same or the sim
 ilar disease. After an introduction to the complex relationship between di
 sease genes and PPI networks\, we will give a brief overview of various co
 mputational methods in discovering disease genes based on PPI networks. Fi
 nally\, we will  present an effective method to predict disease genes\, by
  taking advantage of the wealth of existing data of disease gene neighbors
  which often contain information about as-yet-unidentified disease genes. 
 Our method uses semi-supervised learning\, integrating data of human PPI n
 etworks and various biological data extracted from multiple proteomic and 
 genomic data sources. The experimental results demonstrated that our propo
 sed method performed well with high accuracy\, and at the same time\, pred
 icted some putative disease genes. Performing the experimental results wit
 h small amounts of labeled data\, the output demonstrated an improved abil
 ity to study specific diseases when the known disease genes (as labeled da
 ta) are very often limited.\n\n*Biography*: Phuong Nguyen received her B.S
 . (2003) and M.S. (2005) in Information Technology from Hanoi University o
 f Technology (HUT)\, Vietnam. From 2003 until the present\, she was a lect
 urer at the Faculty of Information Technology\, HUT. In September 2008\, s
 he received a PhD in Bioinformatics from the School of Knowledge Science a
 t the Japan Institute of Science and Technology (JAIST). Her current resea
 rch interests are formal model\, data mining and machine learning applied 
 to biological and medical data in general\, and molecular networks and mol
 ecular networks related to diseases in particular. Phuong joined CoSBi in 
 October 2008.
LOCATION:Small public lecture room\, Microsoft Research Ltd\, 7 J J Thomso
 n Avenue (Off Madingley Road)\, Cambridge
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