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Predicting adverse drug reactions in cancer treatment using a neural network based approach
Hillerton, Thomas
University of Skövde, School of Bioscience.
2018 (English)
Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE credits
Student thesis
Place, publisher, year, edition, pages
2018. , p. 33
National Category
Bioinformatics (Computational Biology)
Identifiers
URN:
urn:nbn:se:his:diva-15659
OAI: oai:DiVA.org:his-15659
DiVA, id:
diva2:1220142
External cooperation
Mika Gustafsson
Subject / course
Bioinformatics
Educational program
Bioinformatics - Master’s Programme
Presentation
2018-06-07, G326, Högskolan i Skövde, Skövde, 09:15 (English)
Supervisors
Lubovac, Zelmina, Lektor
University of Skövde, School of Bioscience.
Gustafsson, Mika, Lektor
Linköpings Universitet, Bioinformatik (BIOIN).
Examiners
Olsson, Björn, Lektor
University of Skövde, School of Bioscience.
Available from:
2018-06-19
Created:
2018-06-18
Last updated:
2018-06-19
Bibliographically approved
Open Access in DiVA
fulltext
(1448 kB)
245 downloads
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FULLTEXT01.pdf
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631d58a03c80a929690001c7d43674884780cde210a1b04c1a26ff9b81a1ee3e67098a3496a064af610a7ecd5e0fd69861c0b3fc22169010687bb934de2293aa
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Hillerton, Thomas
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Total: 245 downloads
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Permanent link
https://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-15659
Direct link
http://his.diva-portal.org/smash/record.jsf?pid=diva2:1220142
Cite
Citation style
apa
apa-cv
ieee
modern-language-association-8th-edition
vancouver
Other style
apa
apa-cv
ieee
modern-language-association-8th-edition
vancouver
Other style
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Language
de-DE
en-GB
en-US
fi-FI
nn-NO
nn-NB
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en-GB
en-US
fi-FI
nn-NO
nn-NB
sv-SE
Other locale
More languages
Output format
html
text
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rtf
html
text
asciidoc
rtf
Create
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