State space and graphical models for estimating networks dynamics

Anani Lotsi

Research output: ThesisThesis fully internal (DIV)

429 Downloads (Pure)

Abstract

Initially, the sequencing of the genome in 2000 was seen by many laymen as if everything about the genetic reality had become known. In fact, sequencing merely introduced us to the players of a very complex genomic game, whose rules we only begin to understand. One way to understand the genomic game is by finding out how the players interact: genomic network reconstruction is an attractive paradigm of genomic science, but inhomogeneous samples and complex time dynamics, means that the rules of the genomic interaction game may be different for different subgroups or even change over time. This thesis develops new methods to deal with these two scenarios.
Original languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
  • University of Groningen
Supervisors/Advisors
  • Wit, Ernst, Supervisor
Award date17-Feb-2014
Place of Publication[S.l.]
Publisher
Print ISBNs9789036767118
Publication statusPublished - 2014

Keywords

  • Proefschriften (vorm)
  • Genoom
  • Maximaalfuncties
  • Latente variabelen
  • Grafische voorstellingen
  • Normale verdeling
  • Dynamische modellen
  • Netwerken
  • biomathematica
  • waarschijnlijkheidsrekening

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