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Improving prediction of protein secondary structure using structured neural networks and multiple sequence alignments
Autores principales: | , |
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Lenguaje: | eng |
Publicado: |
1995
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Materias: | |
Acceso en línea: | http://cds.cern.ch/record/282115 |
_version_ | 1780888028894461952 |
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author | Kamaric-Riis, S Krogh, A |
author_facet | Kamaric-Riis, S Krogh, A |
author_sort | Kamaric-Riis, S |
collection | CERN |
id | cern-282115 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 1995 |
record_format | invenio |
spelling | cern-2821152019-09-30T06:29:59Zhttp://cds.cern.ch/record/282115engKamaric-Riis, SKrogh, AImproving prediction of protein secondary structure using structured neural networks and multiple sequence alignmentsCondensed MatterNORDITA-95-34-Soai:cds.cern.ch:2821151995-03-31 |
spellingShingle | Condensed Matter Kamaric-Riis, S Krogh, A Improving prediction of protein secondary structure using structured neural networks and multiple sequence alignments |
title | Improving prediction of protein secondary structure using structured neural networks and multiple sequence alignments |
title_full | Improving prediction of protein secondary structure using structured neural networks and multiple sequence alignments |
title_fullStr | Improving prediction of protein secondary structure using structured neural networks and multiple sequence alignments |
title_full_unstemmed | Improving prediction of protein secondary structure using structured neural networks and multiple sequence alignments |
title_short | Improving prediction of protein secondary structure using structured neural networks and multiple sequence alignments |
title_sort | improving prediction of protein secondary structure using structured neural networks and multiple sequence alignments |
topic | Condensed Matter |
url | http://cds.cern.ch/record/282115 |
work_keys_str_mv | AT kamaricriiss improvingpredictionofproteinsecondarystructureusingstructuredneuralnetworksandmultiplesequencealignments AT krogha improvingpredictionofproteinsecondarystructureusingstructuredneuralnetworksandmultiplesequencealignments |