Applying machine learning to high-dimensional proteomics datasets for the identification of Alzheimer's disease biomarkers.

Abstract

Authors

• Christoffer Ivarsson Orrelid
  Computer Science and Engineering, Chalmers University of Technology and University of Gothenburg, Rännvägen 6b, 41296, Gothenburg, Västra Götalandsregionen, Sweden. christoffer.orrelid@gmail.com.
• Oscar Rosberg
  Computer Science and Engineering, Chalmers University of Technology and University of Gothenburg, Rännvägen 6b, 41296, Gothenburg, Västra Götalandsregionen, Sweden.
• Sophia Weiner
  Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at the University of Gothenburg, Wallinsgatan 6, 43141, Möndal, Västra Götalandsregionen, Sweden.
• Fredrik D Johansson
  The Division of Data Science and Artificial Intelligence, The Department of Computer Science and Engineering, Chalmers University of Technology, Sweden.
• Johan Gobom
  Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at the University of Gothenburg, Wallinsgatan 6, 43141, Möndal, Västra Götalandsregionen, Sweden.
• Henrik Zetterberg
  Clinical Neurochemistry Laboratory, Institute of Neuroscience and Physiology, Sahlgrenska University Hospital, University of Gothenburg, Mölndal, Sweden.
• Newton Mwai
  Computer Science and Engineering, Chalmers University of Technology and University of Gothenburg, Rännvägen 6b, 41296, Gothenburg, Västra Götalandsregionen, Sweden.
• Lena Stempfle
  Computer Science and Engineering, Chalmers University of Technology and University of Gothenburg, Rännvägen 6b, 41296, Gothenburg, Västra Götalandsregionen, Sweden.

Keywords

External Resources