CancerMA: a web-based tool for automatic meta-analysis of public cancer microarray data

  title={CancerMA: a web-based tool for automatic meta-analysis of public cancer microarray data},
  author={Julia Feichtinger and Ramsay J. McFarlane and Lee D. Larcombe},
The identification of novel candidate markers is a key challenge in the development of cancer therapies. This can be facilitated by putting accessible and automated approaches analysing the current wealth of 'omic'-scale data in the hands of researchers who are directly addressing biological questions. Data integration techniques and standardized, automated, high-throughput analyses are needed to manage the data available as well as to help narrow down the excessive number of target gene… CONTINUE READING
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