Original title: Protein solubility prediction using CNN and CNN-LSTM hybrid models
Authors: SYSOYKOVA, Ekaterina
Document type: Bachelor's theses
Year: 2022
Language: eng
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.
Keywords: CNN; deep learning; LSTM; machine learning; protein solubility
Citation: SYSOYKOVA, Ekaterina. Protein solubility prediction using CNN and CNN-LSTM hybrid models. České Budějovice, 2022. bakalářská práce (Bc.). JIHOČESKÁ UNIVERZITA V ČESKÝCH BUDĚJOVICÍCH. Přírodovědecká fakulta

Institution: University of South Bohemia in České Budějovice (web)
Document availability information: Fulltext is available in the Digital Repository of University of South Bohemia.
Original record: http://www.jcu.cz/vskp/66960

Permalink: http://www.nusl.cz/ntk/nusl-519302


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Universities and colleges > Public universities > University of South Bohemia in České Budějovice
Academic theses (ETDs) > Bachelor's theses