Predicting Target Profile using Cross Venn-ABERS Predictors
In this thesis, Cross Venn-ABERS Predictors (CVAPs) were used as aConformal Prediction technique on an Support Vector Machines (SVM)Algorithm as the underlying algorithm. The datasets, one for each target,were extracted from ChEMBL 24.1 database. After balancing the datasetsin order to get a proper...
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| Format: | Others |
| Language: | English |
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Uppsala universitet, Institutionen för farmaceutisk biovetenskap
2019
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-440181 |