Applying machine learning to high-dimensional proteomics datasets for the identification of Alzheimer’s disease biomarkers
Christoffer Ivarsson Orrelid(Region Västra Götaland), Lena Stempfle(Region Västra Götaland), Fredrik Johansson(Institut national de recherche en sciences et technologies du numérique), Henrik Zetterberg(University of Wisconsin–Madison), Johan Gobom(Sahlgrenska University Hospital), Oscar Rosberg(Region Västra Götaland), Newton Mwai(Region Västra Götaland), Sophia Weiner(Institute of Neurobiology)
Cited by 7
Related Papers
Defeating Alzheimer's disease and other dementias: a priority for European science and society
|The Lancet Neurology|2016|1.7k
SymPy: symbolic computing in Python
|PeerJ Computer Science|2017|1.6k
Differences Between Plasma and Cerebrospinal Fluid Glial Fibrillary Acidic Protein Levels Across the Alzheimer Disease Continuum
|JAMA Neurology|2021|627
Resistance to autosomal dominant Alzheimer’s disease in an APOE3 Christchurch homozygote: a case report
|Nature Medicine|2019|606
The Alzheimer's Association appropriate use recommendations for blood biomarkers in Alzheimer's disease
|Alzheimer s & Dementia|2022|589