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1 Ergebnisse
1
Clustering FunFams using sequence embeddings improves EC pu..:
Littmann, M
;
Bordin, N
;
Heinzinger, M
...
https://discovery.ucl.ac.uk/id/eprint/10127993/7/Bordin_Clustering%20FunFams%20using%20sequence%20embeddings%20improves%20EC%20purity_VoR.pdf. , 2021
Link:
https://discovery.ucl.ac.uk/id/eprint/10127993/7/Bordi..
RT Journal T1 <Title>Clustering FunFams using sequence embeddings improves EC purity</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftucl:oai:eprints.ucl.ac.uk.OAI2:10127993&Exemplar=1&LAN=DE A1 Littmann, M A1 Bordin, N A1 Heinzinger, M A1 Schütze, K A1 Dallago, C A1 Orengo, C A1 Rost, B YR 2021 K1 Functional families K1 protein function K1 CATH K1 EC numbers K1 unsupervised learning K1 contrastive learning K1 word embeddings K1 transfer learning JF https://discovery.ucl.ac.uk/id/eprint/10127993/7/Bordin_Clustering%20FunFams%20using%20sequence%20embeddings%20improves%20EC%20purity_VoR.pdf LK http://dx.doi.org/https://discovery.ucl.ac.uk/id/eprint/10127993/7/Bordin_Clustering%20FunFams%20using%20sequence%20embeddings%20improves%20EC%20purity_VoR.pdf DO https://discovery.ucl.ac.uk/id/eprint/10127993/7/Bordin_Clustering%20FunFams%20using%20sequence%20embeddings%20improves%20EC%20purity_VoR.pdf SF ELIB - SuUB Bremen
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