Zobrazit minimální záznam

dc.contributor.advisorKlambauer, Günter
dc.contributor.authorSysoykova, Ekaterina
dc.date.accessioned2025-03-06T08:05:57Z
dc.date.available2025-03-06T08:05:57Z
dc.date.issued2022
dc.date.submitted2022-01-20
dc.identifier.urihttps://dspace.jcu.cz/handle/20.500.14390/46216
dc.description.abstractProtein 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.format77 p.
dc.format77 p.
dc.language.isoeng
dc.publisherJihočeská univerzitacze
dc.rightsBez omezení
dc.subjectprotein solubilitycze
dc.subjectmachine learningcze
dc.subjectdeep learningcze
dc.subjectCNNcze
dc.subjectLSTMcze
dc.subjectprotein solubilityeng
dc.subjectmachine learningeng
dc.subjectdeep learningeng
dc.subjectCNNeng
dc.subjectLSTMeng
dc.titleProtein solubility prediction using CNN and CNN-LSTM hybrid modelscze
dc.title.alternativeProtein solubility prediction using CNN and CNN-LSTM hybrid modelseng
dc.typebakalářská prácecze
dc.identifier.stag66960
dc.description.abstract-translatedProtein 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.accepted2022-01-28
dc.description.departmentPřírodovědecká fakultacze
dc.thesis.degree-disciplineBioinformaticscze
dc.thesis.degree-grantorJihočeská univerzita. Přírodovědecká fakultacze
dc.thesis.degree-nameBc.
dc.thesis.degree-programApplied Informaticscze
dc.description.gradeDokončená práce s úspěšnou obhajoboucze
dc.contributor.refereeSchimunek, 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.&nbsp;</p> <p>The student addressed questions raised in the reviews of supervisor and opponent.&nbsp;<br /> Used 25 iterations were already very computation power extensive.</p> <p>Where the dataset was comming from?</p>cze


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Zobrazit minimální záznam