guest ::
| 001 | 825710 | ||
| 005 | 20211013093537.0 | ||
| 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 |
| 909 | C | O | |o oai:publications.rwth-aachen.de:825710 |p openaire |p open_access |p VDB |p driver |p dnbdelivery |
| 910 | 1 | _ | |0 I:(DE-588b)36225-6 |6 P:(DE-82)825836 |a RWTH Aachen |b 0 |k RWTH |
| 910 | 1 | _ | |0 I:(DE-588b)36225-6 |6 P:(DE-82)IDM00960 |a RWTH Aachen |b 1 |k RWTH |
| 914 | 1 | _ | |y 2021 |
| 915 | _ | _ | |0 StatID:(DE-HGF)0510 |2 StatID |a OpenAccess |
| 920 | 1 | _ | |0 I:(DE-82)123010_20140620 |k 123010 |l Lehrstuhl für Informatik 12 (Hochleistungsrechnen) |x 0 |
| 920 | 1 | _ | |0 I:(DE-82)120000_20140620 |k 120000 |l Fachgruppe Informatik |x 1 |
| 980 | _ | _ | |a I:(DE-82)120000_20140620 |
| 980 | _ | _ | |a I:(DE-82)123010_20140620 |
| 980 | _ | _ | |a UNRESTRICTED |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a bachelor |
| 980 | 1 | _ | |a FullTexts |
| Library | Collection | CLSMajor | CLSMinor | Language | Author |
|---|