Reconhecimento de Padrões em Dados de Expressão Gênica de Pacientes Portadores de Osteogênese Imperfeita

• Diogo de Novais UESC
• Carla Kaneto UESC
• Paulo Ambrósio UESC

DOI: https://doi.org/10.5753/sbcas.2015.10390

Abstract

The growing production of molecular data made possible by advances in laboratory technologies has motivated research related to analysis supported by mathematical and computational models. This paper discusses the use of clustering algorithms for gene expression data analysis of patients with Osteogenesis Imperfecta, which aims to assess the relationship between the grounds of the models and biological relevance of clusters obtained by different algorithms.

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