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BEGIN:VEVENT
DTSTAMP:20260621T060406Z
DTSTART;VALUE=DATE-TIME:20130424T130000
DTEND;VALUE=DATE-TIME:20130424T140000
SUMMARY:Complexity Forum: Stefano Boccaletti (Polytechnic University of M
 adrid)
TZID:Europe/London
UID:20130424-094d43d5385c299a01386c3bd8de7824@warwick.ac.uk
CREATED:20120329T091422Z
DESCRIPTION:Speaker: Stefano Boccaletti (Polytechnic University of Madrid
 ) Title: Parenclitic networks (and their applications) Abstract: Of the 
 different ways of representing a complex system\, the one afforded by ne
 tworks is certainly among the richest and most general. Endowing a syste
 m with a network representation requires defining nodes and links connec
 ting them. Often physical or virtual relationships between the elements 
 of the system\, e.g. anatomic brain fibres or hyperlinks between the pag
 es of a website\, constrain the way a link is defined. In the absence of
  such relationships\, functional links can still be built\, but this is 
 only possible when a vector of observables can be associated to each nod
 e\, e.g. the time evolution of a stock price\, or of brain activity in a
  given region. To overcome this limitation\, we propose a novel method w
 hich allows treating collections of isolated\, possibly heterogeneous\, 
 scalars\, e.g. sets of biomedical tests\, as networked systems. The meth
 od builds a network where each node represents an observable\, and links
  codify the distance between a pair of observables and a model of their 
 typical relationship within the studied population. Topological characte
 ristics can then be used to extract important information from the syste
 m. In particular\, atypical or pathological conditions correspond to sca
 le-free networks\, whose hubs are the elements that best explain them\, 
 whereas typical or normative conditions are characterized by sparsely co
 nnected networks with homogeneous nodes. Insofar as a network representa
 tion of each instance or subject is constructed with reference to the po
 pulation to which he is compared\, this method is by its very nature a d
 ifference seeker. We used our method to analyze the response of the plan
 t Arabidopsis thaliana to osmotic stress\, using genetic expression leve
 ls as observables. The most important genes turned out to be the nodes w
 ith highest centrality in the reconstructed networks. Knocking out these
  genes resulted in phenotype expression rates one order of magnitude hig
 her than equivalent screenings. Finally\, our method not only confirmed 
 known results\, but also highlighted important genes hitherto unrelated 
 to the osmotic stress response. Lunch team 1
LOCATION:D1.07
CATEGORIES:forum
LAST-MODIFIED:20120709T145410Z
ORGANIZER;CN=Karen McKinley:
END:VEVENT
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