dc.contributor.advisor | Klambauer, Günter | |
dc.contributor.author | Sysoykova, Ekaterina | |
dc.date.accessioned | 2025-03-06T08:05:57Z | |
dc.date.available | 2025-03-06T08:05:57Z | |
dc.date.issued | 2022 | |
dc.date.submitted | 2022-01-20 | |
dc.identifier.uri | https://dspace.jcu.cz/handle/20.500.14390/46216 | |
dc.description.abstract | Protein solubility prediction based on the raw amino acid sequence using three machine/deep learning techniques: RF, CNN, and a hybrid CNN-biLSTM model. Assessment of the performance difference between the models with evaluation metrics and statistical significance tests. | cze |
dc.format | 77 p. | |
dc.format | 77 p. | |
dc.language.iso | eng | |
dc.publisher | Jihočeská univerzita | cze |
dc.rights | Bez omezení | |
dc.subject | protein solubility | cze |
dc.subject | machine learning | cze |
dc.subject | deep learning | cze |
dc.subject | CNN | cze |
dc.subject | LSTM | cze |
dc.subject | protein solubility | eng |
dc.subject | machine learning | eng |
dc.subject | deep learning | eng |
dc.subject | CNN | eng |
dc.subject | LSTM | eng |
dc.title | Protein solubility prediction using CNN and CNN-LSTM hybrid models | cze |
dc.title.alternative | Protein solubility prediction using CNN and CNN-LSTM hybrid models | eng |
dc.type | bakalářská práce | cze |
dc.identifier.stag | 66960 | |
dc.description.abstract-translated | Protein solubility prediction based on the raw amino acid sequence using three machine/deep learning techniques: RF, CNN, and a hybrid CNN-biLSTM model. Assessment of the performance difference between the models with evaluation metrics and statistical significance tests. | eng |
dc.date.accepted | 2022-01-28 | |
dc.description.department | Přírodovědecká fakulta | cze |
dc.thesis.degree-discipline | Bioinformatics | cze |
dc.thesis.degree-grantor | Jihočeská univerzita. Přírodovědecká fakulta | cze |
dc.thesis.degree-name | Bc. | |
dc.thesis.degree-program | Applied Informatics | cze |
dc.description.grade | Dokončená práce s úspěšnou obhajobou | cze |
dc.contributor.referee | Schimunek, Johannes | |
dc.description.defence | <p>The student presented her bachelor thesis in 15 minutes.<br />
The appearance was solid, the student was convinced about her work done and understood the topic well. </p>
<p>The student addressed questions raised in the reviews of supervisor and opponent. <br />
Used 25 iterations were already very computation power extensive.</p>
<p>Where the dataset was comming from?</p> | cze |