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Affinity proteomics for array based profiling of autoantibody repertoires.
Nilsson, Peter
KTH, Centres, Science for Life Laboratory, SciLifeLab. KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Protein Science, Affinity Proteomics.
ORCID iD:
0000-0002-4657-8532
2018 (English)
In:
Multiple Sclerosis Journal, ISSN 1352-4585, E-ISSN 1477-0970, Vol. 24, p. 69-70
Article in journal, Meeting abstract (Other academic) Published
Place, publisher, year, edition, pages
Sage Publications, 2018. Vol. 24, p. 69-70
National Category
Neurosciences
Identifiers
URN:
urn:nbn:se:kth:diva-239106
ISI:
000446861400105
OAI: oai:DiVA.org:kth-239106
DiVA, id:
diva2:1264737
Conference
34th Congress of the European-Committee-for-Treatment-and-Research-in-Multiple-Sclerosis (ECTRIMS), OCT 10-12, 2018, Berlin, GERMANY
Note
QC 20181121
Available from:
2018-11-21
Created:
2018-11-21
Last updated:
2022-09-15
Bibliographically approved
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Nilsson, Peter
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Affinity Proteomics
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ieee
modern-language-association-8th-edition
vancouver
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apa
ieee
modern-language-association-8th-edition
vancouver
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de-DE
en-GB
en-US
fi-FI
nn-NO
nn-NB
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de-DE
en-GB
en-US
fi-FI
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