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UID:2878@i2m.univ-amu.fr
DTSTART;TZID=Europe/Paris:20190412T140000
DTEND;TZID=Europe/Paris:20190412T150000
DTSTAMP:20190328T130000Z
URL:https://www.i2m.univ-amu.fr/evenements/intersections-between-data-scie
 nce-and-developmental-biology-from-images-to-cross-view-kernel-transfer/
SUMMARY: (...): Intersections between data science and developmental biolog
 y\, from images to cross-view kernel transfer 
DESCRIPTION:: Embryogenesis is the process by which a single fertilized cel
 l is turned into a multi-cellular organism. It is a process involving coor
 dinated dynamics at multiple scales\, from single molecules\, to cells\, t
 o tissues. Dynamical processes in biology are studied using an ever-increa
 sing number of microscopy techniques\, each of which brings out unique fea
 tures of the system. What can we learn from partial measurements of a deve
 loping embryo? How can we detect reproducible behaviors in 1000s of cells?
  How accurately can we predict the behavior of individual cells? This requ
 ires developing acquisition tools\, integrating heterogeneous measurements
 \, developing pattern recognition algorithms and inventing predictive theo
 ries. The techniques that we are using stem from the fields of multi-dimen
 sional statistics\, machine learning\, image processing\, complex systems 
 and data visualization. We will illustrate our approaches with specific ex
 amples using datasets from studies of development in the sea urchin early 
 embryogenesis\, drosophila pattern formation and oogenesis.| Webpage | Web
 page ||  |  |
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