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Author:Mohammadi, Pejman
Title:Bayesian integrative modelling of metabolic and transcriptional data using pathway information
Publication type:Master's thesis
Publication year:2010
Pages:vi + 54      Language:   eng
Department/School:Informaatio- ja luonnontieteiden tiedekunta
Main subject:Informaatiotekniikka   (T-61)
Supervisor:Kaski, Samuel
Instructor:Salojärvi, Jarkko
OEVS:
Electronic archive copy is available via Aalto Thesis Database.
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Location:P1 Ark Aalto  6904   | Archive
Keywords:integrative modelling
gene expression
metabolic measurement
stoichiometry
metabolic network modelling
bayesian analysis
Abstract (eng): One of the rising trends in computational systems biology is to characterize biological systems through integrated analysis of different sources of biological information.
While gene expression and metabolic measurements are among the most prevalent biological information sources their integration is problematic due to the difficulties raised by the high dimensionality of the datasets, excessive noise and lack of data samples.

The biochemical skeleton of metabolism has been extensively studied an widely used for simulating the metabolic behaviours in cells.
Nevertheless, the rigid structure of metabolism can also be utilized as a scaffold for analysis of the genome-scale datasets.
This helps to manage the high dimensionality and noise more effectively while also providing a natural link for integrating several omics datasets in the mean time.

The ultimate goal of the work presented in this thesis is to develop a novel data fusion scheme by taking advantage of the genome-scale reconstructed models of metabolism as prior knowledge for integrated analysis of transcriptional and metabolic measurements.
ED:2010-10-13
INSSI record number: 41073
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