Predicting protein phosphorylation from gene expression: top methods from the IMPROVER Species Translation Challenge Article

Dayarian, Adel, Romero, Roberto, Wang, Zhiming et al. (2015). Predicting protein phosphorylation from gene expression: top methods from the IMPROVER Species Translation Challenge . Bioinformatics, 31(4), 462-470. 10.1093/bioinformatics/btu490

Open Access Industry Collaboration International Collaboration

cited authors

  • Dayarian, Adel; Romero, Roberto; Wang, Zhiming; Biehl, Michael; Bilal, Erhan; Hormoz, Sahand; Meyer, Pablo; Norel, Raquel; Rhrissorrakrai, Kahn; Bhanot, Gyan; Luo, Feng; Tarca, Adi L

sustainable development goals

authors

publication date

  • February 15, 2015

published in

keywords

  • BIOLOGY
  • Biochemical Research Methods
  • Biochemistry & Molecular Biology
  • Biotechnology & Applied Microbiology
  • Computer Science
  • Computer Science, Interdisciplinary Applications
  • Life Sciences & Biomedicine
  • MODELS
  • Mathematical & Computational Biology
  • Mathematics
  • Physical Sciences
  • Science & Technology
  • Statistics & Probability
  • Technology

Digital Object Identifier (DOI)

start page

  • 462

end page

  • 470

volume

  • 31

issue

  • 4