Exploring feature identification and machine learning in predicting 
protein-protein interactions of disordered proteins

Kibar, Gözde

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Exploring feature identification and machine learning in predicting protein-protein interactions of disordered proteins

Kibar, G. (2023). Exploring feature identification and machine learning in predicting protein-protein interactions of disordered proteins. PhD Thesis.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000E-8136-3 Version Permalink: https://hdl.handle.net/21.11116/0000-000E-8137-2

Genre: Thesis

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Creators:
Kibar, Gözde^{1, 2}, Author

Affiliations:
1Transcriptional Regulation (Martin Vingron), Dept. of Computational Molecular Biology (Head: Martin Vingron), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_1479639
2Freie Universität Berlin, ou_persistent22

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Language(s): eng - English

Dates: Accepted: 2023-10

Publication Status: Accepted / In Press

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Degree: PhD

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