A multivariate predictive modeling approach reveals a novel CSF peptide signature for both Alzheimer's Disease state classification and for predicting future disease progression

• Daniel A. Llano ,

  Roles Conceptualization, Methodology, Writing – original draft, Writing – review & editing

  * E-mail: d-llano@illinois.edu

  Affiliation Department of Molecular and Integrative Physiology, University of Illinois at Urbana-Champaign, United States of America

  http://orcid.org/0000-0003-0933-1837

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• Saurabh Bundela,

  Roles Formal analysis, Investigation, Methodology

  Current address: Excelra. Hyderabad, India

  Affiliation Exploratory Statistics, AbbVie, Inc., North Chicago, IL, United States of America

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• Raksha A. Mudar,

  Roles Conceptualization, Writing – original draft, Writing – review & editing

  Affiliation Department of Speech and Hearing Science, University of Illinois at Urbana-Champaign, United States of America

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• Viswanath Devanarayan,

  Roles Conceptualization, Formal analysis, Methodology, Project administration, Supervision, Writing – original draft, Writing – review & editing

  Affiliation Exploratory Statistics, AbbVie, Inc., North Chicago, IL, United States of America

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• for the Alzheimer’s Disease Neuroimaging Initiative (ADNI)

  ¶Membership of the Alzheimer’s Disease Neuroimaging Initiative is provided in the Acknowledgments.

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