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A-MADMAN: Annotation-based microarray data meta-analysis tool
Authors:Andrea Bisognin   Alessandro Coppe   Francesco Ferrari   Davide Risso   Chiara Romualdi   Silvio Bicciato  Stefania Bortoluzzi
Affiliation:(1) Department of Biology, University of Padova, Via G. Colombo 3, 35121 Padova, Italy;(2) Department of Statistical Sciences, University of Padova, via C. Battisti2 41, 35121 Padova, Italy;(3) Department of Biomedical Sciences, University of Modena and Reggio Emilia, Via G. Campi 287, 41100 Modena, Italy
Abstract:

Background  

Publicly available datasets of microarray gene expression signals represent an unprecedented opportunity for extracting genomic relevant information and validating biological hypotheses. However, the exploitation of this exceptionally rich mine of information is still hampered by the lack of appropriate computational tools, able to overcome the critical issues raised by meta-analysis.
Keywords:
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