Interpretability of Neural Networks in Drug Design – Abd Alkareem ALJEIROUDI
Abd Alkareem ALJEIROUDI
Bachelor's thesis
Interpretability of Neural Networks in Drug Design
IMPLEMENTING THE INTEGRATED GRADIENTS METHOD
Interpretability of Neural Networks in Drug Design
Abstract:
Several artificial neural networks were implemented and evaluated. Best network's architecture was selected on the basis of the AUC analysis. Later on, Integrated Gradients (IG) was used to attribute the network's decisions to the learned input. The performance of IG using different baselines was evaluated. IG identifies a number of already known toxicophores listed in the literature.
Language used: English
Date on which the thesis was submitted / produced: 28. 4. 2020
Thesis defence
- Supervisor: prof. Dr. Sepp Hochreiter
Citation record
ISO 690-compliant citation record:
ALJEIROUDI, Abd Alkareem. \textit{Interpretability of Neural Networks in Drug Design}. Online. Bachelor's thesis. České Budějovice: University of South Bohemia in České Budějovice, Faculty of Science. 2020. Available from: https://theses.cz/id/xnooon/.
The right form of listing the thesis as a source quoted
ALJEIROUDI, Abd Alkareem. Interpretability of Neural Networks in Drug Design. Č. Budějovice, 2020. bakalářská práce (Bc.). JIHOČESKÁ UNIVERZITA V ČESKÝCH BUDĚJOVICÍCH. Přírodovědecká fakulta
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Institution archiving the thesis and making it accessible: JIHOČESKÁ UNIVERZITA V ČESKÝCH BUDĚJOVICÍCH, Přírodovědecká fakultaUNIVERSITY OF SOUTH BOHEMIA IN ČESKÉ BUDĚJOVICE
Faculty of ScienceBachelor programme / field:
Applied Informatics / Bioinformatics
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