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Open Access

Peer-reviewed

Research Article

A Machine Learned Classifier That Uses Gene Expression Data to Accurately Predict Estrogen Receptor Status

  • Meysam Bastani,

    Affiliation Department of Computing Science, University of Alberta, Edmonton, Alberta, Canada

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  • Larissa Vos,

    Affiliation Department of Oncology, University of Alberta, Edmonton, Alberta, Canada

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  • Nasimeh Asgarian,

    Affiliations Department of Computing Science, University of Alberta, Edmonton, Alberta, Canada, Alberta Innovates Centre for Machine Learning, Edmonton, Alberta, Canada

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  • Jean Deschenes,

    Affiliations Department of Pathology and Laboratory Medicine, University of Alberta, Edmonton, Alberta, Canada, Cross Cancer Institute, Edmonton, Alberta, Canada

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  • Kathryn Graham,

    Affiliations Department of Oncology, University of Alberta, Edmonton, Alberta, Canada, Cross Cancer Institute, Edmonton, Alberta, Canada

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  • John Mackey,

    Affiliations Department of Oncology, University of Alberta, Edmonton, Alberta, Canada, Cross Cancer Institute, Edmonton, Alberta, Canada

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  • Russell Greiner

    rgreiner@ualberta.ca

    Affiliations Department of Computing Science, University of Alberta, Edmonton, Alberta, Canada, Alberta Innovates Centre for Machine Learning, Edmonton, Alberta, Canada

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