BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Talks.cam//talks.cam.ac.uk//
X-WR-CALNAME:Talks.cam
BEGIN:VEVENT
SUMMARY:A new type of stochastic dependence revealed in gene expression da
 ta. - Marcelo Segura\, Biochemistry Department
DTSTART:20071026T130000Z
DTEND:20071026T140000Z
UID:TALK8794@talks.cam.ac.uk
CONTACT:Dr N Karp
DESCRIPTION:Despite their multiple possibilities many of the high throughp
 ut technologies continue to be used in order to answer the question of dif
 ferential expression. Further analysis tend to include additional informat
 ion like GO or follow up experiments. The paper I'll present proposes the 
 existence of a characteristic dependency between some genes. More than an 
 answer to current problems in microarray and other omic fields this work i
 llustrates how new types of questions can be formulated about overall "rul
 es" in gene expression.\nDuring the session I will also show briefly part 
 of my own work along similar (but not identical) lines.\n\nPaper abstract:
 \nModern methods of microarray data analysis are biased towards selecting 
 those genes that display the most pronounced differential expression. The 
 magnitude of differential expression does not necessarily indicate biologi
 cal significance and other criteria are needed to supplement the informati
 on on differential expression. Three large sets of microarray data on chil
 dhood leukemia were analyzed by an original method introduced in this pape
 r. A new type of stochastic dependence between expression levels in gene p
 airs was deciphered by our analysis. This modulation-like unidirectional d
 ependence between expression signals arises when the expression of a "gene
 -modulator'' is stochastically proportional to that of a "gene-driver''. A
  total of more than 35% of all pairs formed from 12550 genes were conserva
 tively estimated to belong to this type. There are genes that tend to form
  Type A relationships with the overwhelming majority of genes. However\, t
 his picture is not static: the composition of Type A gene pairs may underg
 o dramatic changes when comparing two phenotypes. The ability to identify 
 genes that act as \;\;modulators'' provides a potential strategy of priori
 tizing candidate genes.\n\nPaper details: Stat Appl Genet Mol Biol. 2006\;
 5:Article7. http://www.bepress.com/sagmb/vol5/iss1/art7/\n
LOCATION:Meeting room 1 cambridge system biology centre
END:VEVENT
END:VCALENDAR