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

Tarca, Adi L, Lauria, Mario, Unger, Michael et al. (2013). Strengths and limitations of microarray-based phenotype prediction: lessons learned from the IMPROVER Diagnostic Signature Challenge . Bioinformatics, 29(22), 2892-2899. 10.1093/bioinformatics/btt492

Open Access Industry Collaboration International Collaboration

cited authors

  • Tarca, Adi L; Lauria, Mario; Unger, Michael; Bilal, Erhan; Boue, Stephanie; Dey, Kushal Kumar; Hoeng, Julia; Koeppl, Heinz; Martin, Florian; Meyer, Pablo; Nandy, Preetam; Norel, Raquel; Peitsch, Manuel; Rice, Jeremy J; Romero, Roberto; Stolovitzky, Gustavo; Talikka, Marja; Xiang, Yang; Zechner, Christoph

sustainable development goals

authors

publication date

  • November 15, 2013

published in

keywords

  • ALLOMAP GENE-EXPRESSION
  • BREAST-CANCER
  • Biochemical Research Methods
  • Biochemistry & Molecular Biology
  • Biotechnology & Applied Microbiology
  • CLASSIFICATION
  • Computer Science
  • Computer Science, Interdisciplinary Applications
  • Life Sciences & Biomedicine
  • MODELS
  • Mathematical & Computational Biology
  • Mathematics
  • Physical Sciences
  • Science & Technology
  • Statistics & Probability
  • THERAPY
  • Technology
  • VERIFICATION

Digital Object Identifier (DOI)

start page

  • 2892

end page

  • 2899

volume

  • 29

issue

  • 22