A FAST METHOD TO SEARCH FOR PROTEIN HOMOLOGIES USING NEURAL NETWORKS

Autor:	Pascual Ferrara, Edgardo A. Ferrán
Rok vydání:	1992
Předmět:	Set (abstract data type) Self-organizing map Artificial neural network Computer Networks and Communications Computer science business.industry General Medicine Computational biology Artificial intelligence business Machine learning computer.software_genre computer
Zdroj:	International Journal of Neural Systems. :221-226
ISSN:	1793-6462 0129-0657
DOI:	10.1142/s0129065792000553
Popis:	In a previous work we have described a method, based on Kohonen’s unsupervised-learning algorithm, to cluster a set of known protein sequences into families. We show here some examples of how a network, trained with 1758 human protein sequences, can correctly classify nonlearned sequences (nonhuman sequences and small fragments or random amino acid mutations of human sequences) in a very fast way.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::e926cad2222ae890a4e5d14c5902aa34 https://doi.org/10.1142/s0129065792000553 Zobrazit plný text záznamu