Gene expression data analysis: microarrays and regulatory networks modelling / Análise de dados de expressão gênica: normalização de microarrays e modelagem de redes regulatórias

AUTOR(ES)
DATA DE PUBLICAÇÃO

2007

RESUMO

The analyses of DNA microarrays gene expression data are allowing a better comprehension of the dynamics and mechanisms involved in cellular processes at the molecular level. In the cancer field, the improvement of gene expression interpretation is crucial to better understand the molecular basis of the neoplasias and to identify molecular markers to be used in diagnosis and in the design of new anti-tumoral drugs. The main goals of this work were to develop a new method to normalize DNA microarray data and two models to construct gene expression regulatory networks. One method analyses the dynamic connectivity between genes through the cell cycle and the other solves the dimensionality problem in regulatory networks, meaning that the number of experiments is lower than the number of genes. We also developed a toolbox with a user-friendly interface, displaying several established statistical methods implemented to analyze gene expression data as well as the new approaches presented in this work.

ASSUNTO(S)

normalização de microarrays de dna dvar regulatory networks dna microarray data normalization svar var svar microarray dvar microarray redes regulatórias gedi var

ACESSO AO ARTIGO

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