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| 001 | 825710 | ||
| 005 | 20251020080643.0 | ||
| 024 | 7 | _ | |2 datacite_doi |a 10.18154/RWTH-2021-08460 |
| 037 | _ | _ | |a RWTH-2021-08460 |
| 041 | _ | _ | |a English |
| 082 | _ | _ | |a 004 |
| 100 | 1 | _ | |0 P:(DE-82)825836 |a Hoffbauer, Tilman |b 0 |u rwth |
| 245 | _ | _ | |a Evaluation of various machine learning approaches to predicting enzyme mutation data |c Tilman Hoffbauer |h online, print |
| 246 | _ | 3 | |a Evaluierung verschiedener Methoden des maschinellen Lernens zur Vorhersage von Enzym-Mutations-Daten |y German |
| 260 | _ | _ | |a Aachen |b RWTH Aachen University |c 2021 |
| 336 | 7 | _ | |0 2 |2 EndNote |a Thesis |
| 336 | 7 | _ | |0 PUB:(DE-HGF)2 |2 PUB:(DE-HGF) |a Bachelor Thesis |b bachelor |m bachelor |
| 336 | 7 | _ | |2 BibTeX |a MASTERSTHESIS |
| 336 | 7 | _ | |2 DRIVER |a bachelorThesis |
| 336 | 7 | _ | |2 DataCite |a Output Types/Supervised Student Publication |
| 336 | 7 | _ | |2 ORCID |a SUPERVISED_STUDENT_PUBLICATION |
| 500 | _ | _ | |a Veröffentlicht auf dem Publikationsserver der RWTH Aachen University |
| 502 | _ | _ | |a Bachelorarbeit, RWTH Aachen University, 2021 |b Bachelorarbeit |c RWTH Aachen University |d 2021 |g Fak01 |o 2021-09-13 |
| 591 | _ | _ | |a Germany |
| 653 | _ | 7 | |a enzyme |
| 653 | _ | 7 | |a language model |
| 653 | _ | 7 | |a machine learning |
| 653 | _ | 7 | |a mutation |
| 653 | _ | 7 | |a protein |
| 653 | _ | 7 | |a transfer learning |
| 700 | 1 | _ | |0 P:(DE-82)IDM00960 |a Naumann, Uwe |b 1 |e Thesis advisor |u rwth |
| 700 | 1 | _ | |0 P:(DE-82)200502 |a Strodel, Birgit |b 2 |e Thesis advisor |
| 856 | 4 | _ | |u https://github.com/Turakar/mutation-prediction |y Website |
| 856 | 4 | _ | |u https://publications.rwth-aachen.de/record/825710/files/825710.pdf |y OpenAccess |
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| 914 | 1 | _ | |y 2021 |
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