Predicting adverse drug reactions in cancer treatment using a neural network based approach
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Högskolan i Skövde, Institutionen för biovetenskap
2018
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Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-15659 |
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ndltd-UPSALLA1-oai-DiVA.org-his-156592018-06-20T05:56:31ZPredicting adverse drug reactions in cancer treatment using a neural network based approachengHillerton, ThomasHögskolan i Skövde, Institutionen för biovetenskap2018Bioinformatics (Computational Biology)Bioinformatik (beräkningsbiologi)Student thesisinfo:eu-repo/semantics/bachelorThesistexthttp://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-15659application/pdfinfo:eu-repo/semantics/openAccess |
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NDLTD |
language |
English |
format |
Others
|
sources |
NDLTD |
topic |
Bioinformatics (Computational Biology) Bioinformatik (beräkningsbiologi) |
spellingShingle |
Bioinformatics (Computational Biology) Bioinformatik (beräkningsbiologi) Hillerton, Thomas Predicting adverse drug reactions in cancer treatment using a neural network based approach |
author |
Hillerton, Thomas |
author_facet |
Hillerton, Thomas |
author_sort |
Hillerton, Thomas |
title |
Predicting adverse drug reactions in cancer treatment using a neural network based approach |
title_short |
Predicting adverse drug reactions in cancer treatment using a neural network based approach |
title_full |
Predicting adverse drug reactions in cancer treatment using a neural network based approach |
title_fullStr |
Predicting adverse drug reactions in cancer treatment using a neural network based approach |
title_full_unstemmed |
Predicting adverse drug reactions in cancer treatment using a neural network based approach |
title_sort |
predicting adverse drug reactions in cancer treatment using a neural network based approach |
publisher |
Högskolan i Skövde, Institutionen för biovetenskap |
publishDate |
2018 |
url |
http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-15659 |
work_keys_str_mv |
AT hillertonthomas predictingadversedrugreactionsincancertreatmentusinganeuralnetworkbasedapproach |
_version_ |
1718697809406853120 |