Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Bernard Pflugfelder"'
Publikováno v:
Protein Science. 3:507-521
We have recently described a method based on artificial neural networks to cluster protein sequences into families. The network was trained with Kohonen's unsupervised learning algorithm using, as inputs, the matrix patterns derived from the dipeptid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::34cd1d28176b201e528a6ba4fe6d56f0
https://doi.org/10.1002/pro.5560030316
https://doi.org/10.1002/pro.5560030316
Autor:
Bernard Pflugfelder, Edgardo A. Ferrán
Publikováno v:
Europe PubMed Central
We have recently proposed a method, based on artificial neural networks (ANNs) to cluster protein sequences into families according to their degree of sequence similarity. The network was trained with an unsupervised learning algorithm, using, as inp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::577537afae3871c678299add36bb6cbe
https://doi.org/10.1093/bioinformatics/9.6.671
https://doi.org/10.1093/bioinformatics/9.6.671
We show some further improvements to a previously proposed method, based on neural networks, to cluster proteins into families according to their degree of sequence similarity. We also show a large scale application to the classification of 1758 huma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d590c9b7672a32b21d522cb45af848e
https://doi.org/10.1016/b978-0-444-89488-5.50150-0
https://doi.org/10.1016/b978-0-444-89488-5.50150-0
Autor:
Franck Manzato, Bernard Pflugfelder
Publikováno v:
Die Makromolekulare Chemie. 175:2957-2973
A l'aide des concepts de la theorie des chaines de Markov il a ete possible de construire un modele d'homopolymerisation. Ce modele depend de six parametres et decrit une homopolymerisation en masse en y incluant les mecanismes de terminaison des cha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1e72a467d817b096e39dde296516bf80
https://doi.org/10.1002/macp.1974.021751015
https://doi.org/10.1002/macp.1974.021751015