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Oxford University Press (OUP), Bioinformatics, 22(29), p. 2892-2899

DOI: 10.1093/bioinformatics/btt492

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Strengths and limitations of microarray-based phenotype prediction: lessons learned from the IMPROVER Diagnostic Signature Challenge

Journal article published in 2013 by Tarca Al, Michael Zeller, Cheng Zhao, Fengfeng Zhou, Weixiong Zhang, Rita M. C. de Almeida, Samoel R. M. da Silva, Tao Zeng, A. mer Sinan Sarac, Xin-Dong Zhang, Adi L. Tarca, Mario Lauria, Rice Jj, Collaborators: Alan Veliz Cuba Improver Dsc, Michael Unger and other authors.
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

Motivation: After more than a decade since microarrays were used to predict phenotype of biological samples, real-life applications for disease screening and identification of patients who would best benefit from treatment are still emerging. The interest of the scientific community in identifying best approaches to develop such prediction models was reaffirmed in a competition style international collaboration called IMPROVER Diagnostic Signature Challenge whose results we describe herein.