Design and implementation of a machine learning algorithm to improve MaxQuant’s 
inference process of precursor fragment groups in data-independent shotgun 
proteomics

Restrepo Lopez, Juan Luis

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Design and implementation of a machine learning algorithm to improve MaxQuant’s inference process of precursor fragment groups in data-independent shotgun proteomics

Restrepo Lopez, J. L. (2021). Design and implementation of a machine learning algorithm to improve MaxQuant’s inference process of precursor fragment groups in data-independent shotgun proteomics. Master Thesis, Technische Universität, Fakultät für Physik, München.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000C-9B65-4 Version Permalink: https://hdl.handle.net/21.11116/0000-000C-9B66-3

Genre: Thesis

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Creators:
Restrepo Lopez, Juan Luis¹, Author

Affiliations:
1Duderstadt, Karl / Structure and Dynamics of Molecular Machines, Max Planck Institute of Biochemistry, Max Planck Society, Am Klopferspitz 18, 82152 Martinsried, DE, ou_2265639

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Dates: Date issued: 2021

Publication Status: Issued

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Publishing info: München : Technische Universität, Fakultät für Physik

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Degree: Master

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