| Urazbakhtin, Shamil (2026): Peptide spectral library prediction with XGBoost-based machine learning. Dissertation, LMU München: Faculty of Chemistry and Pharmacy |
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Urazbakhtin_Shamil.pdf 25MB |
DOI: 10.5282/edoc.36948
| Item Type: | Theses (Dissertation, LMU Munich) |
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| Keywords: | proteomics, machine learning, spectrum prediction, DIA, MaxQuant |
| Subjects: | 500 Natural sciences and mathematics 500 Natural sciences and mathematics > 540 Chemistry and allied sciences |
| Faculties: | Faculty of Chemistry and Pharmacy |
| Language: | English |
| Date of oral examination: | 17. April 2026 |
| 1. Referee: | Klughammer, Johanna |
| MD5 Checksum of the PDF-file: | b70030e0a9dcb0494c0565961bee3af7 |
| Signature of the printed copy: | 0001/UMC 31930 |
| ID Code: | 36948 |
| Deposited On: | 08. May 2026 09:20 |
| Last Modified: | 08. May 2026 09:21 |
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