Arbeitspapier
Hidden Markov models and neural networks: Identifying signal peptides and transmembrane protein topology
- Sprache
-
Englisch
- Erschienen in
-
Series: Technical Report ; No. 2002,27
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Sousa, Lisete
Santos, Mário
Turkman, Maria Antónia Amaral
Urfer, Wolfgang
- Ereignis
-
Veröffentlichung
- (wer)
-
Universität Dortmund, Sonderforschungsbereich 475 - Komplexitätsreduktion in Multivariaten Datenstrukturen
- (wo)
-
Dortmund
- (wann)
-
2002
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:42 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Sousa, Lisete
- Santos, Mário
- Turkman, Maria Antónia Amaral
- Urfer, Wolfgang
- Universität Dortmund, Sonderforschungsbereich 475 - Komplexitätsreduktion in Multivariaten Datenstrukturen
Entstanden
- 2002
Ähnliche Objekte (12)
Hidden Markov Models and Neural Networks: Identifying Signal Peptides and Transmembrane Protein Topology
Organisation and Recognition of Artificial Transmembrane Peptides
Dynamics, Intermolecular Interactions, and Organization of Transmembrane β-Peptides
Synthesis, characterisation and sensor-functionalisation of transmembrane β-peptides
Aggregation of Transmembrane Peptides Studied by Spin-Label EPR
Transmembrane Peptides for applications in biosensors : NB from influenza B.
Self-assembly of transmembrane peptides studied by solid-state NMR
Inferring the unobservable - identifying state architectures in hidden Markov models
Synthesis of Rigid Spin Labels for the Investigation of Transmembrane Peptides by EPR Spectroscopy
Hybrids of SNARE Transmembrane Domains and Artificial Recognition Motifs as Membrane Fusion Inducing Model Peptides
Operator Semigroups in the Mixed Topology and the Infinitesimal description of Markov Processes
Operator semigroups in the mixed topology and the infinitesimal description of Markov processes
Hidden Markov Models and Neural Networks: Identifying Signal Peptides and Transmembrane Protein Topology
Organisation and Recognition of Artificial Transmembrane Peptides
Dynamics, Intermolecular Interactions, and Organization of Transmembrane β-Peptides
Synthesis, characterisation and sensor-functionalisation of transmembrane β-peptides
Aggregation of Transmembrane Peptides Studied by Spin-Label EPR
Transmembrane Peptides for applications in biosensors : NB from influenza B.
Self-assembly of transmembrane peptides studied by solid-state NMR
Inferring the unobservable - identifying state architectures in hidden Markov models
Synthesis of Rigid Spin Labels for the Investigation of Transmembrane Peptides by EPR Spectroscopy
Hybrids of SNARE Transmembrane Domains and Artificial Recognition Motifs as Membrane Fusion Inducing Model Peptides
Operator Semigroups in the Mixed Topology and the Infinitesimal description of Markov Processes
Operator semigroups in the mixed topology and the infinitesimal description of Markov processes
Hidden Markov Models and Neural Networks: Identifying Signal Peptides and Transmembrane Protein Topology
Organisation and Recognition of Artificial Transmembrane Peptides
Dynamics, Intermolecular Interactions, and Organization of Transmembrane β-Peptides
Synthesis, characterisation and sensor-functionalisation of transmembrane β-peptides
Aggregation of Transmembrane Peptides Studied by Spin-Label EPR
Transmembrane Peptides for applications in biosensors : NB from influenza B.
Self-assembly of transmembrane peptides studied by solid-state NMR
Inferring the unobservable - identifying state architectures in hidden Markov models
Synthesis of Rigid Spin Labels for the Investigation of Transmembrane Peptides by EPR Spectroscopy
Hybrids of SNARE Transmembrane Domains and Artificial Recognition Motifs as Membrane Fusion Inducing Model Peptides
Operator Semigroups in the Mixed Topology and the Infinitesimal description of Markov Processes