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Dataset Information

Gene network analyses point to the importance of human tissue kallikreins in melanoma progression.


ABSTRACT:

Background

A wide variety of high-throughput microarray platforms have been used to identify molecular targets associated with biological and clinical tumor phenotypes by comparing samples representing distinct pathological states.

Methods

The gene expression profiles of human cutaneous melanomas were determined by cDNA microarray analysis. Next, a robust analysis to determine functional classifications and make predictions based on data-oriented hypotheses was performed. Relevant networks that may be implicated in melanoma progression were also considered.

Results

In this study we aimed to analyze coordinated gene expression changes to find molecular pathways involved in melanoma progression. To achieve this goal, ontologically-linked modules with coordinated express

SUBMITTER: Martins WK 

PROVIDER: S-EPMC3212933 | biostudies-literature | 2011 Oct

REPOSITORIES: biostudies-literature

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